Instructions to use jxie/sma-language-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jxie/sma-language-pretrained with Transformers:
# Load model directly from transformers import SMAForSSL model = SMAForSSL.from_pretrained("jxie/sma-language-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +0 -2
tokenizer_config.json
CHANGED
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@@ -32,7 +32,6 @@
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"single_word": false
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},
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"model_max_length": 1024,
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"name_or_path": "/iris/u/jwxie/workspace/releases/domain-agnostic-pretraining/examples/saved_models/language_pretrained/wikibooks_guided_self_random_select_masking_recon_small-adamw_torch-lr1e-4-wd0.01-mr0.15/checkpoint-1000000",
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"pad_token": {
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"__type": "AddedToken",
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"content": "[PAD]",
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@@ -49,6 +48,5 @@
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"rstrip": false,
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"single_word": false
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},
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"special_tokens_map_file": "../saved_models/scratch_configs/language_guided_self_masking_recon_small_long/special_tokens_map.json",
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"tokenizer_class": "SMATokenizer"
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}
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"single_word": false
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},
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"model_max_length": 1024,
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"pad_token": {
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"__type": "AddedToken",
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"content": "[PAD]",
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"rstrip": false,
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"single_word": false
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},
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"tokenizer_class": "SMATokenizer"
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}
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