Instructions to use Rustem/distilroberta-base-trainedmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rustem/distilroberta-base-trainedmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Rustem/distilroberta-base-trainedmodel")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Rustem/distilroberta-base-trainedmodel") model = AutoModelForMaskedLM.from_pretrained("Rustem/distilroberta-base-trainedmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:94138c4056b12d6997c9b310dc70ed2c7e976f28494e3de17317685782847b51
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size 2991
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