Instructions to use ram-lexsi/agenttune-testrun-vector-memory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ram-lexsi/agenttune-testrun-vector-memory with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ram-lexsi/agenttune-testrun-vector-memory", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 508 Bytes
f8e06c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|im_start|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>"
],
"is_local": false,
"local_files_only": false,
"model_max_length": 8192,
"pad_token": "<|im_end|>",
"padding_side": "left",
"tokenizer_class": "GPT2Tokenizer",
"truncation_side": "left",
"unk_token": "<|endoftext|>",
"vocab_size": 49152
}
|