Instructions to use tner/roberta-large-ontonotes5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/roberta-large-ontonotes5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/roberta-large-ontonotes5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/roberta-large-ontonotes5") model = AutoModelForTokenClassification.from_pretrained("tner/roberta-large-ontonotes5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tner/roberta-large-ontonotes5: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/tner/roberta-large-ontonotes5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tner/roberta-large-ontonotes5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tner/roberta-large-ontonotes5/resolve/main/pytorch_model.bin
1.42 GB
- Xet hash:
- 14e25feb589d51a990ea47eaf62d742cdd95abf0cb01fb6f495b7ea13ef9028d
- Size of remote file:
- 1.42 GB
- SHA256:
- 086ca77eeb470435ab2cf9b496f72edde4195d02d559d5c2fb2096c417a07297
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