Instructions to use DidulaThavisha/distilroberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DidulaThavisha/distilroberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DidulaThavisha/distilroberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DidulaThavisha/distilroberta") model = AutoModelForTokenClassification.from_pretrained("DidulaThavisha/distilroberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download gitattributes from DidulaThavisha/distilroberta: direct link, hf CLI and curl.
- Browser
- Download file 690 Bytes
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https://huggingface.co/DidulaThavisha/distilroberta/resolve/main/gitattributes
- Command line
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hf download hf://DidulaThavisha/distilroberta/gitattributes
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curl -L -o gitattributes https://huggingface.co/DidulaThavisha/distilroberta/resolve/main/gitattributes
690 Bytes
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