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:
- 5199193be9b735504c98d6d12d98e8f5caa8bb44c3f6fa713a591081e669710a
- Size of remote file:
- 1.33 GB
- SHA256:
- b1256d3da8d5a211e8374cd9ec307840671e82c4b3d41333c0565da7435f5d5e
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