Instructions to use timhbach/Team_Gryffindor_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timhbach/Team_Gryffindor_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="timhbach/Team_Gryffindor_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("timhbach/Team_Gryffindor_NER") model = AutoModelForTokenClassification.from_pretrained("timhbach/Team_Gryffindor_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from timhbach/Team_Gryffindor_NER: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/timhbach/Team_Gryffindor_NER/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://timhbach/Team_Gryffindor_NER/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/timhbach/Team_Gryffindor_NER/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- 21875afa02d9b55d12c39d2b6cd1d68c11176d4526b42f96df4a4db5fa513bcb
- Size of remote file:
- 266 MB
- SHA256:
- 67b6344a4927390af4e9fdd667b8a1076b2d108178b9574f10d6d779980299cd
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