Instructions to use eduagarcia-temp/brwac_v1_5__checkpoint_22_80000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eduagarcia-temp/brwac_v1_5__checkpoint_22_80000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eduagarcia-temp/brwac_v1_5__checkpoint_22_80000")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eduagarcia-temp/brwac_v1_5__checkpoint_22_80000") model = AutoModelForMaskedLM.from_pretrained("eduagarcia-temp/brwac_v1_5__checkpoint_22_80000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from eduagarcia-temp/brwac_v1_5__checkpoint_22_80000: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint_22_80000/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://eduagarcia-temp/brwac_v1_5__checkpoint_22_80000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/eduagarcia-temp/brwac_v1_5__checkpoint_22_80000/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- d370200857593101177dba58475309f69265cd8364f84798e13af88094f9e6c7
- Size of remote file:
- 499 MB
- SHA256:
- c542bce05aa8e0caf0bb5e183573e913ed99389e736787fc754685a65dcb4658
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