Instructions to use orai-nlp/ElhBERTeu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orai-nlp/ElhBERTeu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="orai-nlp/ElhBERTeu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("orai-nlp/ElhBERTeu") model = AutoModel.from_pretrained("orai-nlp/ElhBERTeu", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from orai-nlp/ElhBERTeu: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/orai-nlp/ElhBERTeu/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://orai-nlp/ElhBERTeu/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/orai-nlp/ElhBERTeu/resolve/main/pytorch_model.bin
501 MB
- Xet hash:
- e3dabb1784b58cbc07348d7ea0b1a43e3b8b25322473d84ea510976cf357c474
- Size of remote file:
- 501 MB
- SHA256:
- 4d8af23738c75f4d5c3096fdca69d8fea04f4a6b73a7802bb6829d611c99649f
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