Instructions to use mlaricheva/roberta-psych with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlaricheva/roberta-psych with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mlaricheva/roberta-psych")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mlaricheva/roberta-psych") model = AutoModelForMaskedLM.from_pretrained("mlaricheva/roberta-psych") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a0029eb78e50c1a87ae4a2009ddefc4ffd1fc0cf1770f033577a2b2897e17f4
- Size of remote file:
- 501 MB
- SHA256:
- bec25e3281c993fe2d4e3531ed54543ee9c5d77f267363a9b23410483ead10cb
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