grammar
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README.md
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- opt
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- custom-license
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- no-commercial
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datasets:
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- aeslc
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widget:
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- text: "Hey <NAME>,\n\nThank you for signing up
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example_title: "newsletter"
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- text: "Hi <NAME>,\n\nI hope this email finds you well. Let me start by saying that I am a big fan of your work"
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example_title: "fan"
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- text: "Greetings <NAME>,\n\nI hope you had a splendid evening at the Company sausage eating festival. I am reaching out because"
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example_title: "festival"
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## Model description
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- This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the [aeslc](https://huggingface.co/datasets/aeslc) dataset for six epochs.
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- Emails, phone numbers, etc were attempted to be excluded in a dataset preparation step using [clean-text](https://pypi.org/project/clean-text/) in Python.
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- Note that API is restricted to
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## Intended uses & limitations
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- in their everlasting wisdom, Facebook/Meta has decided to make a custom license for this specifying several things. See [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) for details.
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## Training and evaluation data
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- opt
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- custom-license
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- no-commercial
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- email
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- auto-complete
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datasets:
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- aeslc
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widget:
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- text: "Hey <NAME>,\n\nThank you for signing up for my weekly newsletter. Before we get started, you'll have to confirm your email address."
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example_title: "newsletter"
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- text: "Hi <NAME>,\n\nI hope this email finds you well. Let me start by saying that I am a big fan of your work."
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example_title: "fan"
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- text: "Greetings <NAME>,\n\nI hope you had a splendid evening at the Company sausage eating festival. I am reaching out because"
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example_title: "festival"
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## Model description
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- This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the [aeslc](https://huggingface.co/datasets/aeslc) dataset for six epochs.
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+
- Emails, phone numbers, etc., were attempted to be excluded in a dataset preparation step using [clean-text](https://pypi.org/project/clean-text/) in Python.
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- Note that API is restricted to generating 64 tokens - you can generate longer emails by using this in a text-generation `pipeline` object
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## Intended uses & limitations
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- in their everlasting wisdom, Facebook/Meta has decided to make a custom license for this, specifying several things. See [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) for details.
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## Training and evaluation data
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