Instructions to use sofom/roberta-base-m4_extended with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofom/roberta-base-m4_extended with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sofom/roberta-base-m4_extended")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sofom/roberta-base-m4_extended") model = AutoModel.from_pretrained("sofom/roberta-base-m4_extended", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sofom/roberta-base-m4_extended: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/sofom/roberta-base-m4_extended/resolve/main/tokenizer.json
- Command line
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hf download hf://sofom/roberta-base-m4_extended/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/sofom/roberta-base-m4_extended/resolve/main/tokenizer.json
3.56 MB
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