Instructions to use psybertpt/psyBERTpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psybertpt/psyBERTpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="psybertpt/psyBERTpt")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("psybertpt/psyBERTpt") model = AutoModelForTokenClassification.from_pretrained("psybertpt/psyBERTpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed7e5c25e8eabf8820811dc09b50a1fc18433b03d7a2c46863b57a37edbccccf
- Size of remote file:
- 3.52 kB
- SHA256:
- 33f25a41afdcaabb10fc4a073d8e05492177000ccf76136f904746cba25a82a8
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