Instructions to use g8a9/roberta-tiny-10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/roberta-tiny-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-10M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-10M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1650
Browse files
pytorch_model.bin
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runs/Feb14_00-12-10_monica.sm.unibocconi.it/events.out.tfevents.1676330009.monica.sm.unibocconi.it.4164817.0
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