Instructions to use jkruk/distilroberta-base-ft-4chan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jkruk/distilroberta-base-ft-4chan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jkruk/distilroberta-base-ft-4chan")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jkruk/distilroberta-base-ft-4chan") model = AutoModelForMaskedLM.from_pretrained("jkruk/distilroberta-base-ft-4chan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jkruk/distilroberta-base-ft-4chan: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/jkruk/distilroberta-base-ft-4chan/resolve/main/training_args.bin
- Command line
-
hf download hf://jkruk/distilroberta-base-ft-4chan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jkruk/distilroberta-base-ft-4chan/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 3edee07b109ed8d9e2b41b9c09dcd8913af7728d83eac552934b298498ae7a8e
- Size of remote file:
- 4.03 kB
- SHA256:
- 2be2d8e22833afbf0f3affb1321e37d0784609c9d26f4ff0fe28b852bb9bcdc7
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