Instructions to use Anish13/checkpoint-151000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anish13/checkpoint-151000 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Anish13/checkpoint-151000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Anish13/checkpoint-151000: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/Anish13/checkpoint-151000/resolve/main/config.json
- Command line
-
hf download hf://Anish13/checkpoint-151000/config.json
-
curl -L -o config.json https://huggingface.co/Anish13/checkpoint-151000/resolve/main/config.json
345 Bytes
| { | |
| "architectures": [ | |
| "TransformerModel" | |
| ], | |
| "d_model": 512, | |
| "dim_feedforward": 1024, | |
| "dropout": 0.1, | |
| "input_dim": 30000, | |
| "max_seq_len": 512, | |
| "model_type": "transformer", | |
| "nhead": 8, | |
| "num_decoder_layers": 6, | |
| "num_encoder_layers": 6, | |
| "output_dim": 30000, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.0" | |
| } | |