Instructions to use deebak14/qwen3_14b_lm_data_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deebak14/qwen3_14b_lm_data_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deebak14/qwen3_14b_lm_data_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7acb30dc092d39ed61697d37e52f4d96a00766a1bbf6b670d2461d96ce92f9a8
- Size of remote file:
- 3.61 GB
- SHA256:
- 2050e61645a758ee7bfd4976c04317034b99322f4c74587b30b5337aa366e483
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