Instructions to use GraphBot/model-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GraphBot/model-pt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GraphBot/model-pt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GraphBot/model-pt") model = AutoModelForTokenClassification.from_pretrained("GraphBot/model-pt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80e6981f1b80f5508c05aed6be183e845fc4ce3fe2d77a315bab117d8a0dda44
- Size of remote file:
- 436 MB
- SHA256:
- 4f527b1c33dc0a4d5f54471541c77e21e9be90373b0f0e34f3b30c8357498e4a
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