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 training_args.bin from ghadeermobasher/Original-BlueBERT-Linnaeus: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/ghadeermobasher/Original-BlueBERT-Linnaeus/resolve/main/training_args.bin
- Command line
-
hf download hf://ghadeermobasher/Original-BlueBERT-Linnaeus/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ghadeermobasher/Original-BlueBERT-Linnaeus/resolve/main/training_args.bin
2.86 kB
- Xet hash:
- fb773d68e20df497cdbeab3fe770ab4d8d569b7d1579589202403f43af8a6a81
- Size of remote file:
- 2.86 kB
- SHA256:
- f8f7d364154e1d831e1265b0fe41fa432f4aa993d028706a1c8e10b8afda76f5
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