Instructions to use Heerrrs/flan_t5_large_chatbot_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Heerrrs/flan_t5_large_chatbot_lora with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Heerrrs/flan_t5_large_chatbot_lora") model = AutoModelForSeq2SeqLM.from_pretrained("Heerrrs/flan_t5_large_chatbot_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-large",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q",
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"v"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c61735ac72eddab7da9da3c88e07b569b043bbadb48e4b9915ddbef52e011daf
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size 18915328
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logs/events.out.tfevents.1726560018.77da757927bf.114.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:86d2cbf0e53c16238fafcebe0ae295f2a356d7b65e2faa6815b866b70a4eb26a
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size 5411
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa3f9f2da25c3339bd07a18ea29149b9e580566f18f7ff6b9e120e69dc58bf9e
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size 5304
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