Instructions to use hammadali1805/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hammadali1805/model with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-small") model = PeftModel.from_pretrained(base_model, "hammadali1805/model") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hammadali1805/model: direct link, hf CLI and curl.
- Browser
- Download file 243 MB
-
https://huggingface.co/hammadali1805/model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hammadali1805/model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hammadali1805/model/resolve/main/pytorch_model.bin
243 MB
- Xet hash:
- cdba7b30b67888435e239577b575d98d307d8062a29107f803bcb2ea2c4eade6
- Size of remote file:
- 243 MB
- SHA256:
- 33ad03f44f5f0b243686f725f384b3f0538b6c700390638ea9d10cc788bb3bdd
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