Instructions to use Falah/Mask_awesome_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/Mask_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Falah/Mask_awesome_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Falah/Mask_awesome_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("Falah/Mask_awesome_eli5_mlm_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- merges.txt +0 -0
- pytorch_model.bin +1 -1
- runs/Jun15_07-05-21_ed83f278cfac/events.out.tfevents.1686812726.ed83f278cfac.184.0 +2 -2
- runs/Jun15_07-05-21_ed83f278cfac/events.out.tfevents.1686813794.ed83f278cfac.184.2 +3 -0
- runs/Jun15_07-24-15_ed83f278cfac/1686813858.156441/events.out.tfevents.1686813858.ed83f278cfac.184.4 +3 -0
- runs/Jun15_07-24-15_ed83f278cfac/events.out.tfevents.1686813858.ed83f278cfac.184.3 +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- training_args.bin +1 -1
- vocab.json +0 -0
merges.txt
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pytorch_model.bin
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runs/Jun15_07-05-21_ed83f278cfac/events.out.tfevents.1686812726.ed83f278cfac.184.0
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runs/Jun15_07-24-15_ed83f278cfac/1686813858.156441/events.out.tfevents.1686813858.ed83f278cfac.184.4
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special_tokens_map.json
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{
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"pad_token": "</s>",
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tokenizer.json
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tokenizer_config.json
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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training_args.bin
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vocab.json
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