Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Surbhipatil/Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Surbhipatil/Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Surbhipatil/Text_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Surbhipatil/Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("Surbhipatil/Text_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Surbhipatil/Text_Classification: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Surbhipatil/Text_Classification/resolve/main/model.safetensors
- Command line
-
hf download hf://Surbhipatil/Text_Classification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Surbhipatil/Text_Classification/resolve/main/model.safetensors
268 MB
- Xet hash:
- 4c6e3be30ed960cda393bdd5508bc23cdbc9c901bee30db48746390968ed74c2
- Size of remote file:
- 268 MB
- SHA256:
- 643530b4ad23bf291b012a4ac393149b07984491d1e67da59125b75cc028700b
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