Instructions to use daffarafi/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daffarafi/lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daffarafi/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
- special_tokens_map.json +1 -1
- tokenizer_config.json +1 -1
special_tokens_map.json
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@@ -7,7 +7,7 @@
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"single_word": false
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},
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"eos_token": {
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-
"content": "<|
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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+
"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer_config.json
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@@ -2052,7 +2052,7 @@
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},
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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-
"eos_token": "<|
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"extra_special_tokens": {},
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"model_input_names": [
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"input_ids",
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},
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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+
"eos_token": "<|end_of_text|>",
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"extra_special_tokens": {},
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"model_input_names": [
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"input_ids",
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