Instructions to use melll-uff/pt-br_diffcse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use melll-uff/pt-br_diffcse with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForCL tokenizer = AutoTokenizer.from_pretrained("melll-uff/pt-br_diffcse") model = BertForCL.from_pretrained("melll-uff/pt-br_diffcse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f91aa7d33c16fd210233565497a321257d919cfdc75978663a9e665ab0bd7512
- Size of remote file:
- 1.75 GB
- SHA256:
- cc03e195d704961a6901dcf3f9f2b9fab176e1a8d03fd66bcc59033e32fa9046
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