Instructions to use mahaamami/distilroberta-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahaamami/distilroberta-base-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mahaamami/distilroberta-base-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mahaamami/distilroberta-base-model") model = AutoModelForMaskedLM.from_pretrained("mahaamami/distilroberta-base-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Jan13_08-54-42_0acfa2e70854/events.out.tfevents.1642064209.0acfa2e70854.105.0
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