Instructions to use stojchet/35cda68bc3f4dfe1a2c1293f3674518a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stojchet/35cda68bc3f4dfe1a2c1293f3674518a with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stojchet/35cda68bc3f4dfe1a2c1293f3674518a", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload params.json with huggingface_hub
Browse files- params.json +1 -0
params.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"max_seq_length": 2000, "language": "python", "dataset_size": 50000, "epochs": 3, "per_device_train_batch_size": 8, "gradient_accumulation_steps": 16, "learning_rate": 1.41e-05, "lora_r": 64, "lora_alpha": 16, "lora_dropout": 0.05, "dataset_name": "stojchet/csn_java_python_subset", "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "dataset_ref_field": "whole_func_string"}
|