Instructions to use Anwaarma/try1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Anwaarma/try1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/edos_taskB_llama3b_merged2_FINAL") model = PeftModel.from_pretrained(base_model, "Anwaarma/try1") - Transformers
How to use Anwaarma/try1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anwaarma/try1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "id2label": { | |
| "0": "animosity", | |
| "1": "derogation", | |
| "2": "prejudiced discussions", | |
| "3": "threats, plans to harm and incitement" | |
| }, | |
| "label2id": { | |
| "animosity": 0, | |
| "derogation": 1, | |
| "prejudiced discussions": 2, | |
| "threats, plans to harm and incitement": 3 | |
| } | |
| } |