Instructions to use Etelis/20NG_roBERTa_5E with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Etelis/20NG_roBERTa_5E with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Etelis/20NG_roBERTa_5E")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Etelis/20NG_roBERTa_5E") model = AutoModelForSequenceClassification.from_pretrained("Etelis/20NG_roBERTa_5E", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Etelis/20NG_roBERTa_5E: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/Etelis/20NG_roBERTa_5E/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Etelis/20NG_roBERTa_5E/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Etelis/20NG_roBERTa_5E/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 624061824d7e410d4af0b4edb6efc97a28557cf2dc47a4a42bd13e5aa6a1e84f
- Size of remote file:
- 499 MB
- SHA256:
- 943a68791e220d99f187242a88545e25e8d97af55dda524fb2b4bcafd24e727d
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