Instructions to use roshanrb001/16_bit_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roshanrb001/16_bit_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="roshanrb001/16_bit_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("roshanrb001/16_bit_model") model = AutoModel.from_pretrained("roshanrb001/16_bit_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
-
Upload 16_bit_model-vision.gguf with huggingface_hub
Verified signature1bc3891
-
(Trained with Unsloth)
Verified signaturee54eba7 -
(Trained with Unsloth)
Verified signaturec32069e -
(Trained with Unsloth)
Verified signaturefdd31d4 -
(Trained with Unsloth)
Verified signature09afdd4 -
(Trained with Unsloth)
Verified signature00e1a45 -
(Trained with Unsloth)
Verified signature940d235 -
Unsloth Model Card
Verified signaturea7aee4b -
initial commit
Verified signatureab62ec6