Instructions to use arashaomrani/Email with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use arashaomrani/Email with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-3b") model = PeftModel.from_pretrained(base_model, "arashaomrani/Email") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from arashaomrani/Email: direct link, hf CLI and curl.
- Browser
- Download file 19.7 MB
-
https://huggingface.co/arashaomrani/Email/resolve/main/adapter_model.bin
- Command line
-
hf download hf://arashaomrani/Email/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/arashaomrani/Email/resolve/main/adapter_model.bin
19.7 MB
- Xet hash:
- 8055fa4376c664cf7cd468ad999475ba462b7c450a584fdef475c8dcac801e8e
- Size of remote file:
- 19.7 MB
- SHA256:
- 4a0923bf7403b79f65fde9f4f2fff7e98b0f2052cdc4fc2ec165f3e7c5e925c8
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