Instructions to use dhmeltzer/bert-tiny-goodreads-wandb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhmeltzer/bert-tiny-goodreads-wandb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dhmeltzer/bert-tiny-goodreads-wandb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dhmeltzer/bert-tiny-goodreads-wandb") model = AutoModelForSequenceClassification.from_pretrained("dhmeltzer/bert-tiny-goodreads-wandb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "./artifacts/model-mv0ofc09:v0",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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