Token Classification
Transformers
Safetensors
qwen2
Generated from Trainer
trl
prm
axolotl
text-generation-inference
Instructions to use jacopo-minniti/Qwen2.5-Math-7B-PUM-half_entropy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jacopo-minniti/Qwen2.5-Math-7B-PUM-half_entropy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jacopo-minniti/Qwen2.5-Math-7B-PUM-half_entropy")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jacopo-minniti/Qwen2.5-Math-7B-PUM-half_entropy") model = AutoModelForTokenClassification.from_pretrained("jacopo-minniti/Qwen2.5-Math-7B-PUM-half_entropy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| { | |
| "content": "<extra_0>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| ], | |
| "eos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |