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Eval Results (legacy)
Instructions to use Tamkimd/tamev-nano-tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tamkimd/tamev-nano-tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tamkimd/tamev-nano-tinybert", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tamkimd/tamev-nano-tinybert", trust_remote_code=True, device_map="auto") - MLX
How to use Tamkimd/tamev-nano-tinybert with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir tamev-nano-tinybert Tamkimd/tamev-nano-tinybert
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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