Instructions to use maxbeettww/roberta-MeSH-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use maxbeettww/roberta-MeSH-lora with PEFT:
Task type is invalid.
- Transformers
How to use maxbeettww/roberta-MeSH-lora with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("maxbeettww/roberta-MeSH-lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_log.csv from maxbeettww/roberta-MeSH-lora: direct link, hf CLI and curl.
- Browser
- Download file 378 Bytes
-
https://huggingface.co/maxbeettww/roberta-MeSH-lora/resolve/main/train_log.csv
- Command line
-
hf download hf://maxbeettww/roberta-MeSH-lora/train_log.csv
-
curl -L -o train_log.csv https://huggingface.co/maxbeettww/roberta-MeSH-lora/resolve/main/train_log.csv
378 Bytes
| epoch,train_loss,val_loss | |
| 1,0.01622321348631714,0.026902620278941556 | |
| 2,0.0076322512506810936,0.02750552339723316 | |
| 3,0.0073888500152706005,0.012503552475212195 | |
| 4,0.0071456530052354745,0.014625133823055905 | |
| 5,0.007090580817737438,0.01275490192077554 | |
| 6,0.0069597244284298155,0.010014340460758667 | |
| 7,0.006869019481124687,0.010600985005533638 | |
| 8,0.006824115124333106,0.00934141071531148 | |