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:
- 4381ed283749282ed225e4c4b9ee3e97f6fb98cd990baf99a92cb192affdca66
- Size of remote file:
- 2.03 kB
- SHA256:
- 1816d65ce9a3b787746a59bf2dd9636afab4c6a81d1cd507141fba56da3070d9
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