Instructions to use heriopaz/HalfCheetah-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heriopaz/HalfCheetah-v3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TrainableDT tokenizer = AutoTokenizer.from_pretrained("heriopaz/HalfCheetah-v3") model = TrainableDT.from_pretrained("heriopaz/HalfCheetah-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from heriopaz/HalfCheetah-v3: direct link, hf CLI and curl.
- Browser
- Download file 8.19 MB
-
https://huggingface.co/heriopaz/HalfCheetah-v3/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://heriopaz/HalfCheetah-v3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/heriopaz/HalfCheetah-v3/resolve/main/pytorch_model.bin
8.19 MB
- Xet hash:
- 4a1e9ed561f0b173adb469f06257a3134254bfb48674180dee99c3b53d6616e2
- Size of remote file:
- 8.19 MB
- SHA256:
- eb860177e163dd2a0d4183f156cd37968c049143341958f73bdbbdb386889802
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