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
File size: 475 Bytes
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"additional_special_tokens": [
{
"content": "<extra_0>",
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"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,
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"single_word": false
}
}
|