Instructions to use deshanksuman/finetuned-gemma-3-4b-it-WSD_VERB_Reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deshanksuman/finetuned-gemma-3-4b-it-WSD_VERB_Reasoning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("deshanksuman/finetuned-gemma-3-4b-it-WSD_VERB_Reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfad8d5a17dac97a8f5ba5c6c5c84006567b79e859022ae9ffdf5e778648b006
- Size of remote file:
- 131 MB
- SHA256:
- 48a001cfd406d3dc3b02552160eac89b746088c5d6d2564f2a0a0d1376f9d79a
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