Instructions to use ghadeermobasher/Original-BlueBERT-Linnaeus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghadeermobasher/Original-BlueBERT-Linnaeus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ghadeermobasher/Original-BlueBERT-Linnaeus")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ghadeermobasher/Original-BlueBERT-Linnaeus") model = AutoModelForTokenClassification.from_pretrained("ghadeermobasher/Original-BlueBERT-Linnaeus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ghadeermobasher/Original-BlueBERT-Linnaeus: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ghadeermobasher/Original-BlueBERT-Linnaeus/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ghadeermobasher/Original-BlueBERT-Linnaeus/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ghadeermobasher/Original-BlueBERT-Linnaeus/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- ecd37caba234cad647a0323bf399e7bb9ae821fb766ba324041537935ab1ce89
- Size of remote file:
- 436 MB
- SHA256:
- 7aa044d4887135b08fd759adc3100caa159d0711d1d3b0af7e5a44c4b84d6903
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