Feature Extraction
Transformers
Safetensors
sentence-transformers
English
Hindi
bidir_mistral
sentence-similarity
custom_code
Instructions to use Sailesh97/Hinvec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sailesh97/Hinvec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Sailesh97/Hinvec", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sailesh97/Hinvec", trust_remote_code=True, device_map="auto") - sentence-transformers
How to use Sailesh97/Hinvec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sailesh97/Hinvec", 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": "LingoIITGN/Ganga-2-1B", | |
| "architectures": [ | |
| "BidirectionalMistralModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_hinvec.BidirectionalMistralConfig", | |
| "AutoModel": "modeling_hinvec.BidirectionalMistralModel" | |
| }, | |
| "attention_dropout": 0.2, | |
| "bos_token_id": 6, | |
| "eos_token_id": 3, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 7168, | |
| "max_position_embeddings": 2048, | |
| "model_type": "bidir_mistral", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 16, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 0, | |
| "rms_norm_eps": 1e-06, | |
| "rope_theta": 10000.0, | |
| "sliding_window": 1024, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.49.0", | |
| "use_cache": true, | |
| "vocab_size": 32768 | |
| } | |