Instructions to use vania2911/11_6kmslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/11_6kmslsamples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/11_6kmslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/11_6kmslsamples", 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": "4.48.3",
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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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size 244826404
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version https://git-lfs.github.com/spec/v1
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oid sha256:f7bd7c12e9fe96a5685bbb0c8c7c31a49d681e0e2e62c6a17f64f34350d3229a
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size 244826404
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runs/Mar08_14-46-35_631e7f0133ea/events.out.tfevents.1741445232.631e7f0133ea.1393.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5e339b81f4a97575928d37ab67d7e0754f9f2bdead000875c4aa018f087cda4
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size 6968
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 5560
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f6a1e729b0d850c36538fc38a886a4c851f7b5005fe9d1a364dbae2eaeb8e01
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size 5560
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