Instructions to use sidd272/Roberta2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sidd272/Roberta2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sidd272/Roberta2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sidd272/Roberta2") model = AutoModelForSequenceClassification.from_pretrained("sidd272/Roberta2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sidd272/Roberta2: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/sidd272/Roberta2/resolve/main/training_args.bin
- Command line
-
hf download hf://sidd272/Roberta2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sidd272/Roberta2/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 2dc2f1ac7427e462b1fc3ac73207a8d568b1a1424a9b1530c41c003d1b7b6dbd
- Size of remote file:
- 4.54 kB
- SHA256:
- 81c507d77ae8bd4a6d4f61846228c9d0a9e91023ce8ca9206558acf2ef769a2e
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