Instructions to use OneFly7/bge_m3_pointwise_bs16_lr1e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OneFly7/bge_m3_pointwise_bs16_lr1e5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OneFly7/bge_m3_pointwise_bs16_lr1e5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OneFly7/bge_m3_pointwise_bs16_lr1e5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "is_local": true, | |
| "local_files_only": true, | |
| "mask_token": "<mask>", | |
| "model_max_length": 8192, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |