Instructions to use g8a9/distilroberta-base-twitter-16M_aug-oct22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/distilroberta-base-twitter-16M_aug-oct22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/distilroberta-base-twitter-16M_aug-oct22")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/distilroberta-base-twitter-16M_aug-oct22") model = AutoModelForMaskedLM.from_pretrained("g8a9/distilroberta-base-twitter-16M_aug-oct22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from g8a9/distilroberta-base-twitter-16M_aug-oct22: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/g8a9/distilroberta-base-twitter-16M_aug-oct22/resolve/main/training_args.bin
- Command line
-
hf download hf://g8a9/distilroberta-base-twitter-16M_aug-oct22/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/g8a9/distilroberta-base-twitter-16M_aug-oct22/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- aa70f1f5d986affd4740443b1871a57bc3e32f9fea9b52ac0249188c342e6fd5
- Size of remote file:
- 3.57 kB
- SHA256:
- 3d2742c7da91d163d37a681a8ac70143f8b8a33d1236da1fddd99b0cd5ee16c8
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