Instructions to use any0019/text_style_mlm_negative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use any0019/text_style_mlm_negative with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="any0019/text_style_mlm_negative")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("any0019/text_style_mlm_negative") model = AutoModelForMaskedLM.from_pretrained("any0019/text_style_mlm_negative", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from any0019/text_style_mlm_negative: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/any0019/text_style_mlm_negative/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://any0019/text_style_mlm_negative/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/any0019/text_style_mlm_negative/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- 5421001214ca0afb8f4ba7968f077a6f3925f2417f5d9b8a9142158ffc976f99
- Size of remote file:
- 438 MB
- SHA256:
- d0791a050cab387ad9581ec4031e77f4cd2d6e94a47d9e9ffa34da0e46a656da
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