Instructions to use sominw/redhot_abs_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sominw/redhot_abs_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sominw/redhot_abs_encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sominw/redhot_abs_encoder") model = AutoModelForMaskedLM.from_pretrained("sominw/redhot_abs_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from sominw/redhot_abs_encoder: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/sominw/redhot_abs_encoder/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://sominw/redhot_abs_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sominw/redhot_abs_encoder/resolve/main/pytorch_model.bin
443 MB
- Xet hash:
- 4d9d90af8179a06f472b137c10dd02144d59ad91955588b1912284f5b836097f
- Size of remote file:
- 443 MB
- SHA256:
- b5b1c8d0c5b78d8df927c7fc23b0ba60ffafbf003fdb27c9fb551257b7fd3c2a
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