Feature Extraction
Transformers
Safetensors
sdar
llama-factory
full
Generated from Trainer
custom_code
Instructions to use armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_log.jsonl from armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640: direct link, hf CLI and curl.
- Browser
- Download file 553 kB
-
https://huggingface.co/armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/resolve/main/trainer_log.jsonl
- Command line
-
hf download hf://armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/trainer_log.jsonl
-
curl -L -o trainer_log.jsonl https://huggingface.co/armanakbari4/sdar_4b_opencodeinstruct-dynamic-10epochSansa__mix_BackwardAveraged_0129_0640/resolve/main/trainer_log.jsonl
553 kB
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