Instructions to use talhaa/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use talhaa/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="talhaa/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("talhaa/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("talhaa/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- .gitignore +1 -0
- config.json +24 -0
- pytorch_model.bin +3 -0
- runs/Sep07_18-50-18_01518ed65aed/1662576643.521194/events.out.tfevents.1662576643.01518ed65aed.55.1 +3 -0
- runs/Sep07_18-50-18_01518ed65aed/events.out.tfevents.1662576638.01518ed65aed.55.0 +3 -0
- runs/Sep07_18-50-18_01518ed65aed/events.out.tfevents.1662576695.01518ed65aed.55.2 +3 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForMaskedLM"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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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": "4.21.3",
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"vocab_size": 30522
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 267975343
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runs/Sep07_18-50-18_01518ed65aed/1662576643.521194/events.out.tfevents.1662576643.01518ed65aed.55.1
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version https://git-lfs.github.com/spec/v1
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runs/Sep07_18-50-18_01518ed65aed/events.out.tfevents.1662576638.01518ed65aed.55.0
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runs/Sep07_18-50-18_01518ed65aed/events.out.tfevents.1662576695.01518ed65aed.55.2
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version https://git-lfs.github.com/spec/v1
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0efb4d3f7189bf81260589e26c7d478007e97b1aa8e11af7757079223a5eeae9
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size 3375
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