Instructions to use Shahid04/Distillbot-Techception with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shahid04/Distillbot-Techception with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shahid04/Distillbot-Techception") model = AutoModelForSeq2SeqLM.from_pretrained("Shahid04/Distillbot-Techception", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Shahid04/Distillbot-Techception: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/Shahid04/Distillbot-Techception/resolve/main/model.safetensors
- Command line
-
hf download hf://Shahid04/Distillbot-Techception/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Shahid04/Distillbot-Techception/resolve/main/model.safetensors
1.46 GB
- Xet hash:
- 50596445a9ac043bc050bf75ace9d06a53a52925e5492659dbee311ab0d261ff
- Size of remote file:
- 1.46 GB
- SHA256:
- 7e428d095be0f4c213d04d07a4e0eb4503160ca9107acd52de1ced1f8e42c2ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.