Instructions to use DANI001/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DANI001/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DANI001/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DANI001/model") model = AutoModelForMaskedLM.from_pretrained("DANI001/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- README.md +2 -15
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- tokenizer.json +2 -2
- training_args.bin +1 -1
README.md
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# model
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0231
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 2.3631 | 1.0 | 171 | 2.1675 |
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| 2.3383 | 2.0 | 342 | 2.0818 |
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| 2.1424 | 3.0 | 513 | 1.9961 |
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| 2.1355 | 4.0 | 684 | 2.0919 |
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| 2.1401 | 5.0 | 855 | 2.0231 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.3.
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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# model
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This model is a fine-tuned version of [Twitter/twhin-bert-large](https://huggingface.co/Twitter/twhin-bert-large) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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"pad_token_id": 0,
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"position_embedding_type": "relative_key",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 250002
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"pad_token_id": 0,
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"position_embedding_type": "relative_key",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 250002
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generation_config.json
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"_from_model_config": true,
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"transformers_version": "4.
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}
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"_from_model_config": true,
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"transformers_version": "4.42.4"
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}
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model.safetensors
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tokenizer.json
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training_args.bin
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