Instructions to use vania2911/exp5_10partition_modelo6000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/exp5_10partition_modelo6000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/exp5_10partition_modelo6000") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/exp5_10partition_modelo6000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1000
Browse files
config.json
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-es-es",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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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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{
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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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": "4.50.0",
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 244826404
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version https://git-lfs.github.com/spec/v1
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oid sha256:2525624810841d5d8a46a06848c4abb05bc466899a0a9ea0b2e14029872cfd56
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size 244826404
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runs/Mar15_23-21-02_c3fbcb7d427b/events.out.tfevents.1742081993.c3fbcb7d427b.455.14
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size
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size 2815
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runs/Mar26_15-57-06_580f94599f8d/events.out.tfevents.1743004636.580f94599f8d.2151.13
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version https://git-lfs.github.com/spec/v1
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oid sha256:861b9195877f6917df5ed62b19a4936de1fba29f85d7732238886a01e19c1ebe
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size 13246
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5624
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