Instructions to use xiaotinghe/buffer-embedding-002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaotinghe/buffer-embedding-002 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="xiaotinghe/buffer-embedding-002", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("xiaotinghe/buffer-embedding-002", trust_remote_code=True) model = AutoModel.from_pretrained("xiaotinghe/buffer-embedding-002", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
0fdbcd5 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"add_prefix_space": false,
"bos_token": "<s>",
"clean_up_tokenization_spaces": false,
"eos_token": "</s>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"padding_side": "right",
"tokenizer_class": "BloomTokenizer",
"unk_token": "<unk>"
}
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