Instructions to use leemeng/core-term-ner-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leemeng/core-term-ner-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="leemeng/core-term-ner-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("leemeng/core-term-ner-v1") model = AutoModelForTokenClassification.from_pretrained("leemeng/core-term-ner-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9b57473
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b9649bc0bbb8707c23c2e53152a01dd927793dcfc76c538f4c83ddeddad03c2
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size 406727670
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