Instructions to use hfl/rbt3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/rbt3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/rbt3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hfl/rbt3") model = AutoModelForMaskedLM.from_pretrained("hfl/rbt3") - Inference
- Notebooks
- Google Colab
- Kaggle
hfl-rc commited on
Commit ·
01e270b
1
Parent(s): 0412ffd
add fast tokenizer config
Browse files- tokenizer.json +0 -0
tokenizer.json
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