Instructions to use aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2", device_map="auto") - PEFT
How to use aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download baseline_metrics.json from aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2: direct link, hf CLI and curl.
- Browser
- Download file 484 Bytes
-
https://huggingface.co/aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2/resolve/main/baseline_metrics.json
- Command line
-
hf download hf://aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2/baseline_metrics.json
-
curl -L -o baseline_metrics.json https://huggingface.co/aryachakraborty/arya-cfpb-qwen_2.5-7b-lora-V2/resolve/main/baseline_metrics.json
484 Bytes
| { | |
| "field_metrics": { | |
| "product": { | |
| "exact_match": 0.01, | |
| "precision": 0.518, | |
| "recall": 0.01, | |
| "f1": 0.0196 | |
| }, | |
| "sub_product": { | |
| "rouge1": 0.0041, | |
| "rouge2": 0.003, | |
| "rougeL": 0.0041, | |
| "bleu": 0.0 | |
| }, | |
| "issue": { | |
| "rouge1": 0.0018, | |
| "rouge2": 0.0, | |
| "rougeL": 0.0018, | |
| "bleu": 0.0 | |
| }, | |
| "sub_issue": { | |
| "rouge1": 0.0004, | |
| "rouge2": 0.0, | |
| "rougeL": 0.0004, | |
| "bleu": 0.0 | |
| } | |
| } | |
| } |