Instructions to use icity/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icity/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="icity/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("icity/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("icity/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- runs/May18_15-24-24_15033ec575e3/1652887600.9973593/events.out.tfevents.1652887600.15033ec575e3.71.1 +3 -0
- runs/May18_15-24-24_15033ec575e3/events.out.tfevents.1652887600.15033ec575e3.71.0 +3 -0
- runs/May18_15-24-24_15033ec575e3/events.out.tfevents.1652887723.15033ec575e3.71.2 +3 -0
- training_args.bin +1 -1
config.json
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.
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"vocab_size": 30522
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}
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"vocab_size": 30522
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}
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pytorch_model.bin
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runs/May18_15-24-24_15033ec575e3/1652887600.9973593/events.out.tfevents.1652887600.15033ec575e3.71.1
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runs/May18_15-24-24_15033ec575e3/events.out.tfevents.1652887600.15033ec575e3.71.0
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runs/May18_15-24-24_15033ec575e3/events.out.tfevents.1652887723.15033ec575e3.71.2
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training_args.bin
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