Instructions to use roscazo/CTEBMSP_ner_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/CTEBMSP_ner_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/CTEBMSP_ner_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/CTEBMSP_ner_test") model = AutoModelForTokenClassification.from_pretrained("roscazo/CTEBMSP_ner_test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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 sha256:3bc4b26e2ddf54152526bc4d1eb28d108748a81be205c6bcb3ddcf08c7f0508a
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size 496248308
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