Instructions to use pierric/test-EsperBERTo-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pierric/test-EsperBERTo-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pierric/test-EsperBERTo-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pierric/test-EsperBERTo-small") model = AutoModelForMaskedLM.from_pretrained("pierric/test-EsperBERTo-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from pierric/test-EsperBERTo-small: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/pierric/test-EsperBERTo-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://pierric/test-EsperBERTo-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/pierric/test-EsperBERTo-small/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- a6adb4528740c13a2f4af11111ff154a8641bc6cff601c58876425fea255f0b8
- Size of remote file:
- 336 MB
- SHA256:
- 403450e234d65943a7dcf7e05a771ce3c92faa84dd07db4ac20f592037a1e4bd
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