Instructions to use Anwaarma/try1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anwaarma/try1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/edos_taskB_llama3b_merged2_FINAL") model = PeftModel.from_pretrained(base_model, "Anwaarma/try1") - Transformers
How to use Anwaarma/try1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/try1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70459a30254c1d630c2a12e9e9c0da54bc7ff956d6a0f4d448564fa82662ef67
- Size of remote file:
- 5.71 kB
- SHA256:
- 65895a845ce30de7b4280fba16a7246f3eb05c738d4b005e03c1da3ef83682cc
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