Instructions to use emanjavacas/MacBERTh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emanjavacas/MacBERTh with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("emanjavacas/MacBERTh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from emanjavacas/MacBERTh: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/emanjavacas/MacBERTh/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://emanjavacas/MacBERTh/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/emanjavacas/MacBERTh/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- c6cb77212ddc40186019099dbeb020c552d4837b844172c59724e3da890380ab
- Size of remote file:
- 439 MB
- SHA256:
- 0dfba5777f622ab49fbef087eafe8618e280c1f5b303439509cf240f7b76ded8
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