Instructions to use shivrajanand/temporaryupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivrajanand/temporaryupload with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivrajanand/temporaryupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use shivrajanand/temporaryupload with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for shivrajanand/temporaryupload to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for shivrajanand/temporaryupload to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for shivrajanand/temporaryupload to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="shivrajanand/temporaryupload", max_seq_length=2048, )
| { | |
| "HYPER-PARAMETERS": { | |
| "MODEL_NAME": "unsloth/phi-4", | |
| "MAX_LEN": 3400, | |
| "LOAD_IN_4BIT": true, | |
| "BATCH_SIZE": 16, | |
| "GRAD_ACC": 4, | |
| "EPOCHS": 5, | |
| "LR": 0.000218, | |
| "LOG_STEPS": 100, | |
| "SAVE_STEPS": 100, | |
| "SAVE_LIMIT": 3, | |
| "EVAL_STEPS": 100, | |
| "WEIGHT_DECAY": 0.025, | |
| "WARMUP_RATIO": 0.047, | |
| "MAX_GRAD_NORM": 1.0, | |
| "LORA_R": 16, | |
| "LORA_ALPHA": 128, | |
| "LORA_DROPOUT": 0.1, | |
| "ES_THRESHOLD": 0.001, | |
| "ES_PATIENCE": 5, | |
| "DATA_FILE_PATH": "/dgx2/pawangcs/Dataset/v3_gitapress_final_3shot_prompts.csv", | |
| "OUTPUT_DIR": "/dgx2/pawangcs/Trained_Models/Phi4-3shot" | |
| }, | |
| "TRAIN_DATASET_LEN": 23316, | |
| "VAL_DATASET_LEN": 2918, | |
| "best_model": { | |
| "best_model_checkpoint": "/dgx2/pawangcs/Trained_Models/Phi4-3shot/checkpoint-700", | |
| "best_model_metric": 0.5273797512054443 | |
| } | |
| } |