Instructions to use vania2911/5661 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/5661 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/5661") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/5661", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
config.json
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 33257
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}
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"share_encoder_decoder_embeddings": true,
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"static_position_embeddings": true,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"use_cache": true,
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"vocab_size": 33257
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}
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model.safetensors
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size 244826404
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ac86cead4dc4d552881421501453113c1b16894f0860f6168790352fdc3e0be
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size 244826404
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runs/Mar08_20-51-26_631e7f0133ea/events.out.tfevents.1741467101.631e7f0133ea.1393.5
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oid sha256:fb56065cd1fe3fee39c1ae55127cc2344762ab7c0d599c59b0aaf99eb959614d
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size 54475
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runs/Mar08_22-44-44_971f59a0ca39/events.out.tfevents.1741474059.971f59a0ca39.1547.0
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oid sha256:7cbd21df975aed4cd1cc6a765de006ca79427d9274adc14e11c2fc15c04de18f
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size 14185
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training_args.bin
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size 5560
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size 5560
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