Instructions to use daviBera/intern35_2b_lora_expert_chart-102400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daviBera/intern35_2b_lora_expert_chart-102400 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("../checkpoints/base_models/InternVL3_5-2B-Pretrained-HF") model = PeftModel.from_pretrained(base_model, "daviBera/intern35_2b_lora_expert_chart-102400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c025691e2d3872ec1f9c8da79cd6d26378d3a45cd592bbd0807bfc456d896b0
- Size of remote file:
- 11.4 MB
- SHA256:
- 7b9d18660f656ae5a87df2d5d6ed990e80f292d3473c1a35cae8259a5d28cd67
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