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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (3105953da6255c05177b9e8f45bda33f4813d4e5) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>72edb51
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Neural network heights file
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Model auxiliar files
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initial commit
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