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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 122 Bytes
0a293ec | 1 2 3 4 5 6 7 | {
"bos_token_id": 151643,
"eos_token_id": 151643,
"max_new_tokens": 2048,
"transformers_version": "4.53.0.dev0"
}
|