Instructions to use Anwaarma/new2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anwaarma/new2 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/new2") - Transformers
How to use Anwaarma/new2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/new2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ef5af4a3b9a4b258ac51ad4cc7dfe47d0bb45dd8968f0b475abe3445eca1e43
- Size of remote file:
- 17.2 MB
- SHA256:
- c6eeb16665ec244ff3c2ef4dca42e4cfdcbc7162835201919175747a633511cb
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