Instructions to use roscazo/ner_ANAT_DISO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/ner_ANAT_DISO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/ner_ANAT_DISO")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/ner_ANAT_DISO") model = AutoModelForTokenClassification.from_pretrained("roscazo/ner_ANAT_DISO") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:709b10c9ae9cc3687e2f421b2bc397f725503d727f9ba146a84faef1f3c2b456
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size 496254460
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