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:
- d6858a1d191d666a35396bc4981d4c82a89d273cac908e17ba2f375f1f73c10d
- Size of remote file:
- 1.33 GB
- SHA256:
- d435250752d351aef9689e2356e1507171c3537121d07d761b4fb00ac2d656d3
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