Sentence Similarity
Transformers
PyTorch
Safetensors
Chinese
bert
feature-extraction
text2vec
text-embeddings-inference
Instructions to use GanymedeNil/text2vec-large-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GanymedeNil/text2vec-large-chinese with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("GanymedeNil/text2vec-large-chinese") model = AutoModel.from_pretrained("GanymedeNil/text2vec-large-chinese", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
最大token数
#24
by PatrickStar2 - opened
max_seq_length 是512,但tokenizer_config.json里面的model_max_length参数为1000000000000000019884624838656。实际用时,不能超过512,那么model_max_length这个参数是什么意思?应该如何用?