Instructions to use sgonzalezsilot/beto-twitter-depression-external-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgonzalezsilot/beto-twitter-depression-external-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sgonzalezsilot/beto-twitter-depression-external-data")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sgonzalezsilot/beto-twitter-depression-external-data") model = AutoModelForMaskedLM.from_pretrained("sgonzalezsilot/beto-twitter-depression-external-data") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c25ab84fd3ed7844b3f68fc6a7d8c4e357a081699967d7a8ff8e31679877dc29
- Size of remote file:
- 4.09 kB
- SHA256:
- 03d624cc8a10893c3403104f08295e11f0dd46337572e0c888ba5ddafc66640e
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