Instructions to use cea-list-ia/ManufactuBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cea-list-ia/ManufactuBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cea-list-ia/ManufactuBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cea-list-ia/ManufactuBERT") model = AutoModelForMaskedLM.from_pretrained("cea-list-ia/ManufactuBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cea-list-ia/ManufactuBERT: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/cea-list-ia/ManufactuBERT/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://cea-list-ia/ManufactuBERT/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cea-list-ia/ManufactuBERT/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- cbd6883a52d4737a6bd23e389ffe9acea4472fd49838744fd47b89eeaa4e960a
- Size of remote file:
- 499 MB
- SHA256:
- d45eda626808be60209eb23631cd9c77e77e60e0db16b6889812a1678e5296f2
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