Search is not available for this dataset
how-to-train
float64 -0.11
0.29
| how-to-generate
float64 -0.09
0.28
| reformer
float64 -0.1
0.25
| pytorch_block_sparse
float64 -0.09
0.26
| encoder-decoder
float64 -0.1
0.23
| ray-tune
float64 -0.09
0.26
| porting-fsmt
float64 -0.09
0.3
| warm-starting-encoder-decoder
float64 -0.08
0.24
| accelerated-inference
float64 -0.08
0.29
| zero-deepspeed-fairscale
float64 -0.08
0.27
| tf-serving
float64 -0.1
0.24
| pytorch-xla
float64 -0.08
0.28
| ray-rag
float64 -0.1
0.28
| simple-considerations
float64 -0.1
0.28
| long-range-transformers
float64 -0.1
0.26
| fine-tune-wav2vec2-english
float64 -0.09
0.25
| how-to-deploy-a-pipeline-to-google-clouds
float64 -0.08
0.27
| the-partnership-amazon-sagemaker-and-hugging-face
float64 -0.08
0.24
| big-bird
float64 -0.09
0.25
| sagemaker-distributed-training-seq2seq
float64 -0.09
0.26
| accelerate-library
float64 -0.1
0.28
| bert-cpu-scaling-part-1
float64 -0.09
0.23
| gradio
float64 -0.09
0.26
| few-shot-learning-gpt-neo-and-inference-api
float64 -0.1
0.27
| sentence-transformers-in-the-hub
float64 -0.09
0.24
| deploy-hugging-face-models-easily-with-amazon-sagemaker
float64 -0.08
0.26
| spacy
float64 -0.08
0.26
| collaborative-training
float64 -0.11
0.24
| hardware-partners-program
float64 -0.09
0.28
| graphcore
float64 -0.08
0.26
| summer-at-huggingface
float64 -0.08
0.27
| gradio-spaces
float64 -0.09
0.27
| streamlit-spaces
float64 -0.1
0.28
| fine-tune-clip-rsicd
float64 -0.09
0.26
| the-age-of-ml-as-code
float64 -0.11
0.25
| 1b-sentence-embeddings
float64 -0.09
0.26
| large-language-models
float64 -0.11
0.24
| course-launch-event
float64 -0.09
0.29
| bert-cpu-scaling-part-2
float64 -0.09
0.25
| fine-tune-xlsr-wav2vec2
float64 -0.09
0.26
| accelerating-pytorch
float64 -0.1
0.25
| data-measurements-tool
float64 -0.1
0.25
| graphcore-getting-started
float64 -0.09
0.27
| snowball-fight
float64 -0.09
0.23
| codeparrot
float64 -0.1
0.27
| perceiver
float64 -0.08
0.23
| gradio-joins-hf
float64 -0.09
0.26
| autonlp-prodigy
float64 -0.09
0.28
| gptj-sagemaker
float64 -0.08
0.28
| wav2vec2-with-ngram
float64 -0.09
0.26
| infinity-cpu-performance
float64 -0.09
0.27
| sb3
float64 -0.09
0.24
| searching-the-hub
float64 -0.09
0.28
| asr-chunking
float64 -0.09
0.26
| sentiment-analysis-python
float64 -0.1
0.23
| fine-tune-vit
float64 -0.09
0.28
| bert-101
float64 -0.09
0.24
| constrained-beam-search
float64 -0.08
0.27
| image-search-datasets
float64 -0.08
0.27
| bert-inferentia-sagemaker
float64 -0.09
0.26
| fine-tune-segformer
float64 -0.09
0.28
| ai-residency
float64 -0.09
0.24
| meg-mitchell-interview
float64 -0.09
0.23
| decision-transformers
float64 -0.1
0.26
| transformers-design-philosophy
float64 -0.09
0.26
| habana
float64 -0.08
0.27
| lewis-tunstall-interview
float64 -0.09
0.24
| carbon-emissions-on-the-hub
float64 -0.1
0.26
| supercharge-customer-service-with-machine-learning
float64 -0.11
0.28
| education
float64 -0.09
0.26
| getting-started-habana
float64 -0.09
0.27
| ml-director-insights
float64 -0.12
0.28
| opinion-classification-with-kili
float64 -0.11
0.28
| pytorch-fsdp
float64 -0.1
0.25
| deep-rl-intro
float64 -0.09
0.23
| fastai
float64 -0.08
0.23
| series-c
float64 -0.1
0.22
| optimum-inference
float64 -0.09
0.26
| ambassadors
float64 -0.08
0.27
| ml-director-insights-2
float64 -0.09
0.28
| gradio-blocks
float64 -0.09
0.25
| fellowship
float64 -0.08
0.27
| sasha-luccioni-interview
float64 -0.09
0.22
| deep-rl-q-part1
float64 -0.09
0.24
| ethical-charter-multimodal
float64 -0.11
0.25
| sempre-health-eap-case-study
float64 -0.12
0.29
| deep-rl-q-part2
float64 -0.09
0.25
| tapex
float64 -0.09
0.28
| community-update
float64 -0.11
0.23
| graphcore-update
float64 -0.09
0.26
| deep-rl-dqn
float64 -0.1
0.28
| annotated-diffusion
float64 -0.11
0.26
| ml-director-insights-3
float64 -0.1
0.28
| intel
float64 -0.1
0.24
| convert-transformers-to-onnx
float64 -0.09
0.27
| getting-started-with-embeddings
float64 -0.11
0.27
| eval-on-the-hub
float64 -0.09
0.26
| accelerate-deepspeed
float64 -0.1
0.25
| your-first-ml-project
float64 -0.09
0.26
| deep-rl-pg
float64 -0.11
0.26
| sentiment-analysis-twitter
float64 -0.08
0.24
| bloom
float64 -0.1
0.22
| playlist-generator
float64 -0.09
0.29
| bloom-megatron-deepspeed
float64 -0.08
0.3
| mnist-adversarial
float64 -0.09
0.26
| deep-rl-a2c
float64 -0.09
0.27
| tf-serving-vision
float64 -0.09
0.28
| tf-xla-generate
float64 -0.09
0.26
| datasets-docs-update
float64 -0.08
0.25
| us-national-ai-research-resource
float64 -0.1
0.25
| nystromformer
float64 -0.08
0.27
| introducing-private-hub
float64 -0.09
0.26
| deep-rl-ppo
float64 -0.1
0.26
| how-to-train-sentence-transformers
float64 -0.09
0.27
| deploy-tfserving-kubernetes
float64 -0.09
0.28
| tensorflow-philosophy
float64 -0.09
0.29
| skops
float64 -0.09
0.25
| hf-bitsandbytes-integration
float64 -0.09
0.28
| vision-transformers
float64 -0.1
0.26
| deploy-vertex-ai
float64 -0.09
0.28
| pretraining-bert
float64 -0.1
0.26
| stable_diffusion
float64 -0.1
0.28
| spaces_3dmoljs
float64 -0.09
0.23
| open_rail
float64 -0.12
0.26
| train-decision-transformers
float64 -0.1
0.27
| diffusers-2nd-month
float64 -0.09
0.27
| megatron-training
float64 -0.09
0.28
| bloom-inference-pytorch-scripts
float64 -0.1
0.26
| ethics-soc-1
float64 -0.12
0.25
| setfit
float64 -0.1
0.27
| accelerate-large-models
float64 -0.1
0.27
| autotrain-image-classification
float64 -0.1
0.24
| zero-shot-eval-on-the-hub
float64 -0.1
0.26
| japanese-stable-diffusion
float64 -0.1
0.26
| introducing-doi
float64 -0.09
0.21
| bloom-inference-optimization
float64 -0.1
0.27
| stable_diffusion_jax
float64 -0.08
0.27
| inference-endpoints
float64 -0.09
0.26
| mteb
float64 -0.09
0.22
| pytorch-ddp-accelerate-transformers
float64 -0.1
0.27
| evaluating-llm-bias
float64 -0.1
0.27
| openvino
float64 -0.09
0.25
| fine-tune-whisper
float64 -0.09
0.25
| dreambooth
float64 -0.09
0.3
| pricing-update
float64 -0.11
0.22
| introducing-csearch
float64 -0.11
0.25
| sentiment-analysis-fhe
float64 -0.09
0.27
| arxiv
float64 -0.09
0.24
| ml-director-insights-4
float64 -0.09
0.27
| inference-update
float64 -0.08
0.25
| document-ai
float64 -0.1
0.27
| diffusion-models-event
float64 -0.11
0.24
| interns-2023
float64 -0.1
0.2
| vq-diffusion
float64 -0.1
0.25
| time-series-transformers
float64 -0.08
0.23
| diffusers-coreml
float64 -0.09
0.26
| deep-learning-with-proteins
float64 -0.1
0.26
| elixir-bumblebee
float64 -0.09
0.28
| rlhf
float64 -0.11
0.27
| habana-gaudi-2-benchmark
float64 -0.1
0.25
| audio-datasets
float64 -0.11
0.23
| ethics-soc-2
float64 -0.09
0.26
| model-cards
float64 -0.11
0.23
| clipseg-zero-shot
float64 -0.09
0.27
| intel-sapphire-rapids
float64 -0.09
0.29
| ml-for-games-1
float64 -0.09
0.27
| intro-graphml
float64 -0.1
0.21
| ml-for-games-2
float64 -0.1
0.27
| image-similarity
float64 -0.1
0.25
| paddlepaddle
float64 -0.09
0.25
| mask2former
float64 -0.09
0.24
| ml-for-games-3
float64 -0.11
0.28
| optimum-onnxruntime-training
float64 -0.09
0.26
| dialog-agents
float64 -0.1
0.28
| lora
float64 -0.09
0.28
| ml-for-games-4
float64 -0.09
0.28
| cv_state
float64 -0.09
0.27
| vision_language_pretraining
float64 -0.1
0.27
| intel-sapphire-rapids-inference
float64 -0.09
0.27
| aivsai
float64 -0.1
0.24
| ml-for-games-5
float64 -0.1
0.26
| speecht5
float64 -0.09
0.24
| peft
float64 -0.08
0.25
| mantis-case-study
float64 -0.1
0.27
| blip-2
float64 -0.09
0.25
| aws-partnership
float64 -0.1
0.25
| fast-mac-diffusers
float64 -0.1
0.27
| red-teaming
float64 -0.12
0.27
| classification-use-cases
float64 -0.09
0.29
| ethics-diffusers
float64 -0.1
0.28
| controlnet
float64 -0.1
0.29
| using-ml-for-disasters
float64 -0.09
0.28
| vit-align
float64 -0.1
0.21
| trl-peft
float64 -0.09
0.28
| informer
float64 -0.09
0.23
| notebooks-hub
float64 -0.09
0.27
| train-your-controlnet
float64 -0.11
0.26
| fl-with-flower
float64 -0.09
0.28
| stable-diffusion-inference-intel
float64 -0.1
0.25
| habana-gaudi-2-bloom
float64 -0.09
0.27
| ethics-soc-3
float64 -0.11
0.27
| stackllama
float64 -0.11
0.26
| snorkel-case-study
float64 -0.1
0.27
| owkin-substra
float64 -0.1
0.28
| graphml-classification
float64 -0.09
0.26
| accelerate-transformers-with-inferentia2
float64 -0.09
0.27
| unity-in-spaces
float64 -0.11
0.26
| chinese-language-blog
float64 -0.09
0.21
| databricks-case-study
float64 -0.09
0.24
| tf_tpu
float64 -0.09
0.27
| if
float64 -0.09
0.28
| unity-api
float64 -0.11
0.24
| starcoder
float64 -0.09
0.26
| text-to-video
float64 -0.1
0.24
| starchat-alpha
float64 -0.1
0.29
| assisted-generation
float64 -0.09
0.28
| rwkv
float64 -0.09
0.25
| chatbot-amd-gpu
float64 -0.09
0.27
| generative-ai-models-on-intel-cpu
float64 -0.09
0.28
| dedup
float64 -0.12
0.25
| instruction-tuning-sd
float64 -0.11
0.26
| safetensors-security-audit
float64 -0.09
0.31
| huggingface-and-ibm
float64 -0.09
0.27
| hugging-face-endpoints-on-azure
float64 -0.1
0.25
| 4bit-transformers-bitsandbytes
float64 -0.09
0.27
| train-optimize-sd-intel
float64 -0.09
0.26
| bertopic
float64 -0.1
0.26
| sagemaker-huggingface-llm
float64 -0.09
0.26
| cnil
float64 -0.1
0.26
| game-jam
float64 -0.1
0.23
| unity-asr
float64 -0.1
0.27
| falcon
float64 -0.09
0.26
| fasttext
float64 -0.09
0.24
| hub-duckdb
float64 -0.09
0.25
| hf-hub-glam-guide
float64 -0.09
0.27
| llm-leaderboard
float64 -0.09
0.27
| huggingface-and-amd
float64 -0.09
0.25
| content-guidelines-update
float64 -0.09
0.23
| livebook-app-deployment
float64 -0.08
0.28
| fast-diffusers-coreml
float64 -0.09
0.27
| autoformer
float64 -0.09
0.22
| policy-ntia-rfc
float64 -0.11
0.28
| mms_adapters
float64 -0.1
0.26
| panel-on-hugging-face
float64 -0.09
0.25
| evaluating-mmlu-leaderboard
float64 -0.09
0.26
| ethics-soc-4
float64 -0.1
0.25
| bridgetower
float64 -0.08
0.28
| writer-case-study
float64 -0.11
0.26
| text-to-webapp
float64 -0.08
0.28
| inference-endpoints-llm
float64 -0.09
0.27
| ml-web-games
float64 -0.09
0.28
| stable-diffusion-finetuning-intel
float64 -0.08
0.28
| os-llms
float64 -0.09
0.27
| ai-webtv
float64 -0.1
0.26
| llama2
float64 -0.09
0.25
| diffusers-turns-1
float64 -0.09
0.27
| game-jam-first-edition-results
float64 -0.09
0.25
| agents-js
float64 -0.11
0.27
| eu-ai-act-oss
float64 -0.11
0.25
| stable-diffusion-xl-coreml
float64 -0.09
0.26
| sd_distillation
float64 -0.09
0.28
| 3d-assets
float64 -0.09
0.28
| encrypted-llm
float64 -0.08
0.27
| huggy-lingo
float64 -0.09
0.25
| run-musicgen-as-an-api
float64 -0.09
0.24
| swift-coreml-llm
float64 -0.08
0.28
| dpo-trl
float64 -0.1
0.27
| deploy-deepfloydif-using-bentoml
float64 -0.11
0.29
| optimizing-bark
float64 -0.09
0.27
| aws-marketplace
float64 -0.09
0.25
| idefics
float64 -0.09
0.25
| safecoder
float64 -0.1
0.27
| gptq-integration
float64 -0.09
0.28
| password-git-deprecation
float64 -0.09
0.26
| codellama
float64 -0.1
0.25
| audioldm2
float64 -0.1
0.25
| fetch-case-study
float64 -0.1
0.28
| falcon-180b
float64 -0.1
0.25
| t2i-sdxl-adapters
float64 -0.08
0.28
| safecoder-vs-closed-source-code-assistants
float64 -0.1
0.28
| overview-quantization-transformers
float64 -0.09
0.27
| ram-efficient-pytorch-fsdp
float64 -0.09
0.27
| wuerstchen
float64 -0.09
0.28
| optimize-llm
float64 -0.11
0.27
| object-detection-leaderboard
float64 -0.1
0.25
| gaussian-splatting
float64 -0.1
0.28
| rocketmoney-case-study
float64 -0.08
0.29
| inference-pro
float64 -0.1
0.26
| llama-sagemaker-benchmark
float64 -0.08
0.24
| Llama2-for-non-engineers
float64 -0.1
0.28
| trl-ddpo
float64 -0.09
0.26
| ethics-soc-5
float64 -0.12
0.25
| ai-comic-factory
float64 -0.1
0.26
| chat-templates
float64 -0.09
0.27
| sdxl_jax
float64 -0.09
0.26
| ort-accelerating-hf-models
float64 -0.1
0.25
| gradio-lite
float64 -0.09
0.3
| simple_sdxl_optimizations
float64 -0.09
0.28
| the_n_implementation_details_of_rlhf_with_ppo
float64 -0.1
0.26
| inference-endpoints-embeddings
float64 -0.09
0.26
| scalable-data-inspection
float64 -0.1
0.28
| personal-copilot
float64 -0.1
0.3
| researcher-dataset-sharing
float64 -0.09
0.26
| regions
float64 -0.1
0.25
| Lora-for-sequence-classification-with-Roberta-Llama-Mistral
float64 -0.08
0.26
| prodigy-hf
float64 -0.09
0.28
| inferentia-llama2
float64 -0.09
0.28
| lcm_lora
float64 -0.1
0.29
| leaderboard-drop-dive
float64 -0.08
0.27
| lora-adapters-dynamic-loading
float64 -0.1
0.28
| optimum-nvidia
float64 -0.11
0.27
| setfit-absa
float64 -0.11
0.25
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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0.009493 | 0.002001 | -0.000889 | 0.0286 | 0.044749 | 0.012505 | 0.001651 | 0.032204 | 0.014627 | -0.024027 | 0.029639 | 0.003407 | -0.005024 | 0.017839 | 0.018082 | 0.020149 | -0.023907 | 0.005558 | 0.021045 | -0.002541 | 0.003559 | 0.030221 | 0.00263 | 0.01889 | -0.002417 | 0.007671 | 0.005969 | 0.015052 | -0.022147 | -0.039705 | -0.042536 | -0.006596 | 0.015675 | -0.003894 | -0.001426 | 0.003627 | 0.016263 | -0.005117 | 0.018526 | 0.016635 | 0.012828 | 0.007357 | -0.015777 | -0.026879 | 0.000193 | 0.014134 | -0.0265 | 0.00129 | 0.02327 | 0.029235 | -0.009875 | 0.027773 | 0.004758 | 0.022045 | 0.016134 | 0.024988 | 0.012335 | -0.004529 | -0.002866 | 0.002618 | -0.024748 | -0.032775 | 0.000851 | 0.012799 | 0.013171 | 0.010436 | -0.010063 | -0.006891 | -0.00258 | 0.011751 | 0.009202 | 0.005645 | -0.003064 | 0.022808 | 0.036322 | 0.004875 | -0.028407 | 0.008563 | -0.031793 | 0.001502 | -0.006593 | -0.057006 | 0.000385 | 0.033442 | -0.017845 | -0.039747 | 0.050541 | 0.00811 | -0.036486 | -0.013776 | 0.023223 | -0.020457 | 0.008973 | -0.026883 | 0.003678 | -0.006358 | 0.000726 | -0.002546 | 0.002883 | 0.034051 | -0.002165 | -0.005825 | 0.007356 | 0.020523 | -0.019882 | 0.038495 | 0.026742 | 0.03457 | 0.004959 | -0.025101 | 0.010492 | -0.01806 | 0.001637 | -0.005896 | 0.015948 | 0.041371 | -0.016471 | 0.027505 | 0.004712 | 0.017738 | 0.025992 | -0.029495 | -0.029019 | 0.030642 | 0.031619 | -0.02277 | 0.020613 | 0.001414 | -0.019133 | 0.005988 | -0.010701 | 0.001683 | 0.025997 | -0.034085 | 0.002587 | 0.00724 | 0.001874 | -0.001049 | 0.008594 | -0.010142 | 0.016975 | -0.013911 | -0.004819 | -0.028245 | 0.008359 | 0.014701 | 0.016714 | -0.005775 | -0.014742 | 0.00763 | -0.002429 | -0.022541 | -0.024035 | 0.002007 | 0.012329 | -0.00604 | 0.024431 | -0.008678 | 0.012252 | 0.0218 | 0.024227 | 0.00025 | 0.000284 | -0.0122 | 0.006921 | -0.030425 | 0.019343 | -0.010877 | 0.02382 | -0.021189 | 0.01355 | -0.032014 | 0.015419 | 0.010188 | -0.00624 | -0.037296 | -0.019092 | -0.00107 | 0.013427 | -0.01761 | -0.013684 | 0.034457 | 0.004457 | 0.011672 | 0.017464 | -0.023284 | -0.018272 | 0.025778 | -0.016242 | -0.025484 | -0.022026 | -0.024852 | 0.011441 | 0.004449 | 0.007879 | -0.014151 | -0.002746 | 0.008399 | -0.01926 | 0.031778 | -0.004217 | 0.028147 | -0.0043 | 0.001159 | 0.018202 | 0.013699 | -0.068377 | -0.033633 | -0.006638 | 0.017313 | -0.002736 | -0.032156 | -0.006573 | -0.012469 | -0.025006 | -0.006569 | 0.021462 | 0.02128 | 0.016443 | 0.014834 | -0.023654 | 0.028287 | -0.005714 | -0.012965 | 0.021756 | -0.006358 | -0.007642 | 0.003607 | -0.026575 | -0.019262 | -0.030072 | 0.008526 | 0.020435 | 0.00014 | -0.006263 | 0.009565 | -0.038934 | -0.010559 | -0.011799 | -0.023837 | 0.012855 | -0.007526 | 0.005587 | -0.049336 | -0.005461 | -0.006605 | 0.011291 | -0.036002 | 0.01547 | 0.006585 | -0.00377 | -0.020197 | 0.01435 | 0.003104 | 0.00097 | -0.03496 | -0.025818 | -0.039818 | -0.008948 | -0.020678 | 0.015319 | -0.037098 | 0.025951 | -0.00752 | 0.005743 | -0.013272 | -0.016846 | -0.011579 | 0.007803 | -0.024308 | 0.021197 | 0.006909 | 0.005953 | -0.040767 | 0.007493 | 0.00209 | -0.034964 | 0.026324 | -0.009797 | -0.004227 | 0.008036 | -0.006337 | 0.020969 | 0.010677 | 0.007848 | -0.021988 | 0.004885 | -0.008555 | 0.007007 | -0.0012 | -0.026428 | -0.013754 | -0.018334 | 0.022133 | -0.022731 | 0.014916 | -0.004704 | -0.013351 | -0.00722 | 0.007629 | 0.015068 | -0.020648 | -0.013745 | -0.028048 | 0.029071 | 0.00499 | 0.00059 | -0.001194 | -0.020638 | -0.018321 | -0.007561 | 0.015877 |
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