Text Classification
Transformers
Safetensors
English
qwen3
text-generation
mcqa
multiple-choice
qwen
supervised-fine-tuning
mnlp
epfl
stem
text-embeddings-inference
Instructions to use youssefbelghmi/MNLP_M3_mcqa_model_true with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use youssefbelghmi/MNLP_M3_mcqa_model_true with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="youssefbelghmi/MNLP_M3_mcqa_model_true")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("youssefbelghmi/MNLP_M3_mcqa_model_true") model = AutoModelForCausalLM.from_pretrained("youssefbelghmi/MNLP_M3_mcqa_model_true") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|object_ref_start|>", | |
| "<|object_ref_end|>", | |
| "<|box_start|>", | |
| "<|box_end|>", | |
| "<|quad_start|>", | |
| "<|quad_end|>", | |
| "<|vision_start|>", | |
| "<|vision_end|>", | |
| "<|vision_pad|>", | |
| "<|image_pad|>", | |
| "<|video_pad|>" | |
| ], | |
| "eos_token": "<|im_end|>", | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |