Instructions to use bvantuan/camembert-mwer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bvantuan/camembert-mwer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bvantuan/camembert-mwer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bvantuan/camembert-mwer") model = AutoModelForTokenClassification.from_pretrained("bvantuan/camembert-mwer") - Notebooks
- Google Colab
- Kaggle
Commit ·
1be8f85
1
Parent(s): 0f6f9bf
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (09146851fef3a50d7f835e32b07e9e5a487f2a2c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7044863e81d29f8b42edef26a8988425b5ee97bc1b68de041d292433f3f39f7
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size 1342553092
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