Instructions to use titanbot/Roberta-Large-CONLL2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use titanbot/Roberta-Large-CONLL2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="titanbot/Roberta-Large-CONLL2003")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("titanbot/Roberta-Large-CONLL2003") model = AutoModelForTokenClassification.from_pretrained("titanbot/Roberta-Large-CONLL2003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from titanbot/Roberta-Large-CONLL2003: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/titanbot/Roberta-Large-CONLL2003/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://titanbot/Roberta-Large-CONLL2003/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/titanbot/Roberta-Large-CONLL2003/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- bfbac6530bcb9bc3adb9d88a3cb195318bec0c546cd47ef24311b49f978e5aaa
- Size of remote file:
- 1.42 GB
- SHA256:
- 85924500c39d8c637b1b5872c4fef07626190b6e3e63ede54d7186c7de9f84b4
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