Instructions to use Tarun6665/gemma-intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tarun6665/gemma-intent-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tarun6665/gemma-intent-classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- README.md +2 -2
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- added_tokens.json +3 -0
- runs/Feb14_08-40-38_cs-01khdmcz4a6grdqbr5va511d6x-w4fd/events.out.tfevents.1771058564.cs-01khdmcz4a6grdqbr5va511d6x-w4fd.6891.0 +3 -0
- special_tokens_map.json +33 -0
- tokenizer.json +2 -2
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +2 -2
README.md
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### Framework versions
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- TRL: 0.28.0
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- Transformers:
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- Pytorch: 2.8.0+cu128
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- Datasets:
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- Tokenizers: 0.22.2
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## Citations
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### Framework versions
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- TRL: 0.28.0
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- Transformers: 4.56.2
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- Pytorch: 2.8.0+cu128
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- Datasets: 3.6.0
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- Tokenizers: 0.22.2
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## Citations
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"down_proj",
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"q_proj",
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"gate_proj",
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"k_proj",
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"o_proj",
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"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"up_proj",
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"gate_proj",
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"o_proj",
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"q_proj",
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"v_proj",
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"down_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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adapter_model.safetensors
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size 1234101536
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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runs/Feb14_08-40-38_cs-01khdmcz4a6grdqbr5va511d6x-w4fd/events.out.tfevents.1771058564.cs-01khdmcz4a6grdqbr5va511d6x-w4fd.6891.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:506d7c8226695491a5b07624270d4c78ccf0afaba9b436b40c525d10a6ed0a35
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size 8879
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special_tokens_map.json
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{
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"boi_token": "<start_of_image>",
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"bos_token": {
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"content": "<bos>",
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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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"eoi_token": "<end_of_image>",
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"eos_token": {
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"content": "<eos>",
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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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"image_token": "<image_soft_token>",
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"pad_token": {
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"content": "<pad>",
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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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"unk_token": {
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"content": "<unk>",
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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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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size
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oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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size 33384568
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
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size 4689074
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tokenizer_config.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:b02ed261ae663bcc69c145cd89c9c47312f2a1e909c31bfe1cc11db2a386d097
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size 6353
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