Transformers
PyTorch
Safetensors
qwen2
Generated from Trainer
text-generation-inference
4-bit precision
bitsandbytes
Instructions to use twanghcmut/imbalancetexx-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use twanghcmut/imbalancetexx-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, ImbalanceTexx tokenizer = AutoTokenizer.from_pretrained("twanghcmut/imbalancetexx-2") model = ImbalanceTexx.from_pretrained("twanghcmut/imbalancetexx-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 897650c1197a73c0d98dfe9e04edf61274b233eabd243085e575d3a51ea3e739
- Size of remote file:
- 11.4 MB
- SHA256:
- a4a8909abd2b7ae84870ba8671086b1b1b062fbcdf7b6d4f1d946f2987235bd7
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