Instructions to use jacksontran/bert-base-uncased-conll2003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacksontran/bert-base-uncased-conll2003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jacksontran/bert-base-uncased-conll2003")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jacksontran/bert-base-uncased-conll2003") model = AutoModelForTokenClassification.from_pretrained("jacksontran/bert-base-uncased-conll2003") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:06d5627e640875094ead852bbbe2a7c081b29dfd2fa10bbdbb4b5c5963e94f14
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size 435621804
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