Instructions to use khazen2/DistilBERT_Hemingway_SAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khazen2/DistilBERT_Hemingway_SAR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="khazen2/DistilBERT_Hemingway_SAR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("khazen2/DistilBERT_Hemingway_SAR") model = AutoModelForMaskedLM.from_pretrained("khazen2/DistilBERT_Hemingway_SAR") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: cc-by-nc-3.0
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license: cc-by-nc-3.0
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This model was fine-tuned on Ernest Hemingway's _The Sun Also Rises_. In terms of predictive differences, it is not signficantly different from
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the base DistilBERT model.
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