Instructions to use CodeIsAbstract/HybridTimeScaleModel_conti3_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridTimeScaleModel_conti3_ with Transformers:
# Load model directly from transformers import HybridTimeScaleLM model = HybridTimeScaleLM.from_pretrained("CodeIsAbstract/HybridTimeScaleModel_conti3_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from CodeIsAbstract/HybridTimeScaleModel_conti3_: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti3_/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://CodeIsAbstract/HybridTimeScaleModel_conti3_/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/CodeIsAbstract/HybridTimeScaleModel_conti3_/resolve/main/last-checkpoint/training_args.bin
5.27 kB
- Xet hash:
- 75c58263ad6e81f190aeb640c3c5219bae5e1dc5b298447d1b25da8df4c96923
- Size of remote file:
- 5.27 kB
- SHA256:
- 4a70aabed0457e05b37f233610f4e2e52283700e304afecd170873a8550ff953
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.