Text Classification
Transformers
Safetensors
llama
Generated from Trainer
trl
reward-trainer
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use shirwu/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirwu/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shirwu/output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shirwu/output") model = AutoModelForSequenceClassification.from_pretrained("shirwu/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eedc9475c58ef3d525e00f45753b643002266c1fe806e8fc1bf1d4fda596182b
- Size of remote file:
- 5.43 kB
- SHA256:
- b25bf9123546fa17a8ba073a09838a1b38496757f1e19d2093010bc98d3a02b2
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