Instructions to use joe32140/codesage-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joe32140/codesage-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="joe32140/codesage-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("joe32140/codesage-small", trust_remote_code=True, dtype="auto") - sentence-transformers
How to use joe32140/codesage-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("joe32140/codesage-small", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "codesage/codesage-small", | |
| "activation_function": "gelu_new", | |
| "architectures": [ | |
| "CodeSageModel" | |
| ], | |
| "attention_dropout_prob": 0.1, | |
| "auto_map": { | |
| "AutoConfig": "codesage/codesage-small--config_codesage.CodeSageConfig", | |
| "AutoModel": "codesage/codesage-small--modeling_codesage.CodeSageModel", | |
| "AutoModelForMaskedLM": "codesage/codesage-small--modeling_codesage.CodeSageForMaskedLM", | |
| "AutoModelForSequenceClassification": "codesage/codesage-small--modeling_codesage.CodeSageForSequenceClassification", | |
| "AutoTokenizer": "codesage/codesage-small--tokenization_codesage.CodeSageTokenizer" | |
| }, | |
| "bos_token_id": 0, | |
| "embedding_dropout_prob": 0.1, | |
| "eos_token_id": 0, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_epsilon": 1e-05, | |
| "max_position_embeddings": 2048, | |
| "model_type": "codesage", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 49153, | |
| "position_embedding_type": "absolute", | |
| "residual_dropout_prob": 0.1, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.0.dev0", | |
| "vocab_size": 49154 | |
| } | |