Instructions to use HueyNemud/berties with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HueyNemud/berties with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HueyNemud/berties")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HueyNemud/berties") model = AutoModelForTokenClassification.from_pretrained("HueyNemud/berties", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b35453c910fed195e90751355d3a1c2927c2432ef1a1dca4aeaef51662e3556b
- Size of remote file:
- 440 MB
- SHA256:
- 10b4c449f459a1dd150bde11f8cf172d41be99a9f3b58800012ae433cc402cc2
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