Instructions to use Ashishkr/Dialog_clarification_gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashishkr/Dialog_clarification_gpt2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ashishkr/Dialog_clarification_gpt2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from Ashishkr/Dialog_clarification_gpt2: direct link, hf CLI and curl.
- Browser
- Download file 1.42 GB
-
https://huggingface.co/Ashishkr/Dialog_clarification_gpt2/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://Ashishkr/Dialog_clarification_gpt2/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/Ashishkr/Dialog_clarification_gpt2/resolve/main/flax_model.msgpack
1.42 GB
- Xet hash:
- fdf460c3bc7920de37e127373942335ba5c9bd8cb09b1d7767bfb3ec79e8fbb4
- Size of remote file:
- 1.42 GB
- SHA256:
- ca50c8ce3fd047071d9a39a57ff26c2cc8cbaba123613b9bee32b0f5ca51edea
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