Instructions to use Clark88/tinyllama-conversational-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Clark88/tinyllama-conversational-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "Clark88/tinyllama-conversational-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adb4d94ea6cc6097fecc9bf9ebb8e075c435b541dd18308432a168c10ab4b354
- Size of remote file:
- 9.06 MB
- SHA256:
- aba263cc20c8dc3f150da932c008d15f5272d576df47ec2d4c158389cf079c8d
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