Instructions to use intm/codet5-small-go_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intm/codet5-small-go_generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("intm/codet5-small-go_generation") model = AutoModelForMultimodalLM.from_pretrained("intm/codet5-small-go_generation") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "/bigdata/qiuhan/codet5/CodeT5/saved_models/go_generation/codet5_small_all_lr10_bs32_src512_trg256_pat3_e30/checkpoint-best-ppl", | |
| "architectures": [ | |
| "T5ForConditionalGeneration" | |
| ], | |
| "bos_token_id": 1, | |
| "d_ff": 2048, | |
| "d_kv": 64, | |
| "d_model": 512, | |
| "decoder_start_token_id": 0, | |
| "dropout_rate": 0.1, | |
| "eos_token_id": 2, | |
| "feed_forward_proj": "relu", | |
| "gradient_checkpointing": false, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": true, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "n_positions": 512, | |
| "num_decoder_layers": 6, | |
| "num_heads": 8, | |
| "num_layers": 6, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "relative_attention_num_buckets": 32, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.10.2", | |
| "use_cache": true, | |
| "vocab_size": 32100 | |
| } | |