Instructions to use LiukG/gut_1024-finetuned-lora-NT-v2-100m-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiukG/gut_1024-finetuned-lora-NT-v2-100m-ms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LiukG/gut_1024-finetuned-lora-NT-v2-100m-ms", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LiukG/gut_1024-finetuned-lora-NT-v2-100m-ms", trust_remote_code=True) model = AutoModelForSequenceClassification.from_pretrained("LiukG/gut_1024-finetuned-lora-NT-v2-100m-ms", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "cls_token": "<cls>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |