Instructions to use orai-nlp/ElhBERTeu-nerc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orai-nlp/ElhBERTeu-nerc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="orai-nlp/ElhBERTeu-nerc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("orai-nlp/ElhBERTeu-nerc") model = AutoModelForTokenClassification.from_pretrained("orai-nlp/ElhBERTeu-nerc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from orai-nlp/ElhBERTeu-nerc: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/orai-nlp/ElhBERTeu-nerc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://orai-nlp/ElhBERTeu-nerc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/orai-nlp/ElhBERTeu-nerc/resolve/main/pytorch_model.bin
496 MB
- Xet hash:
- 4ac02eb0c78c2ee8012e7c628cab6c5d44ff33ab85e7ab4e361d928a75f2ab37
- Size of remote file:
- 496 MB
- SHA256:
- 0d9eb92295d77f4bca08867bba3dd501947cd27b296348d89658e204f6f46554
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.