Instructions to use tharun1507/Decipher-the_code_explainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tharun1507/Decipher-the_code_explainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tharun1507/Decipher-the_code_explainer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tharun1507/Decipher-the_code_explainer") model = AutoModelForSequenceClassification.from_pretrained("tharun1507/Decipher-the_code_explainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from tharun1507/Decipher-the_code_explainer: direct link, hf CLI and curl.
- Browser
- Download file 680 Bytes
-
https://huggingface.co/tharun1507/Decipher-the_code_explainer/resolve/12aebf9a232e5d45d64c3e67ecb7fb69aef7e796/config.json
- Command line
-
hf download hf://tharun1507/Decipher-the_code_explainer@12aebf9a232e5d45d64c3e67ecb7fb69aef7e796/config.json
-
curl -L -o config.json https://huggingface.co/tharun1507/Decipher-the_code_explainer/resolve/12aebf9a232e5d45d64c3e67ecb7fb69aef7e796/config.json
680 Bytes
| { | |
| "_name_or_path": "bert-large-uncased", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.40.1", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |