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 training_args.bin from Surbhipatil/Text_Classification: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/Surbhipatil/Text_Classification/resolve/63e09a7a6731b335deae129fa66dbbe015c3833c/training_args.bin
- Command line
-
hf download hf://Surbhipatil/Text_Classification@63e09a7a6731b335deae129fa66dbbe015c3833c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Surbhipatil/Text_Classification/resolve/63e09a7a6731b335deae129fa66dbbe015c3833c/training_args.bin
5.78 kB
- Xet hash:
- 86d567d1bf280b0a16759c9dcfea40390bea154d999b5a2f9721cb3330855194
- Size of remote file:
- 5.78 kB
- SHA256:
- c726169d721532f9776eb9d5d3ec900810e050d289709b5f7e52a6505502f5b9
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