Instructions to use Irisissocute/fine_tuned_biogpt_2017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Irisissocute/fine_tuned_biogpt_2017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Irisissocute/fine_tuned_biogpt_2017")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Irisissocute/fine_tuned_biogpt_2017") model = AutoModelForTokenClassification.from_pretrained("Irisissocute/fine_tuned_biogpt_2017") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38af4f9b2aa7d3a5c7bfb866dd10c7e2ea4b03d73f352abf16433f3d533e8d9c
- Size of remote file:
- 1.39 GB
- SHA256:
- 7a56d787783bb198eed03a27599b393ac92439130f3868f700466c00bfcdb4cd
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