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")# pip install -U transformers accelerate # 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 flax_model.msgpack from pierric/test-EsperBERTo-small: direct link, hf CLI and curl.
- Browser
- Download file 334 MB
-
https://huggingface.co/pierric/test-EsperBERTo-small/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://pierric/test-EsperBERTo-small/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/pierric/test-EsperBERTo-small/resolve/main/flax_model.msgpack
334 MB
- Xet hash:
- 763b08d6bddd20fcea91b1e635df17b30d5076a2333969ce4f8ceb994f9a587a
- Size of remote file:
- 334 MB
- SHA256:
- 2dd87fc3a302eff8447ffe4fc2c60e1840bbbb7782319f7a2951c1eb74a433b3
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