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--- |
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language: |
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- en |
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datasets: |
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- m-newhauser/senator-tweets |
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widget: |
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- text: "[start]" |
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example_title: "Starting Notation" |
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--- |
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# Phi-2 Senator Tweets |
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[Phi-2](https://huggingface.co/microsoft/phi-2) finetuned on [Senator Tweets](https://huggingface.co/datasets/m-newhauser/senator-tweets). |
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The starting token is [start] and the ending token is [end] |
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Example: |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained("Realluke/phi-2-senator-tweets", torch_dtype="auto", trust_remote_code=True) |
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tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True) |
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inputs = tokenizer("[start]", return_tensors="pt", return_attention_mask=False) |
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outputs = model.generate(**inputs, max_length=200) |
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text = tokenizer.batch_decode(outputs)[0] |
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print(text) |
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``` |
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## Model Details |
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### Model Description |
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- **Steps:** 750 |
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- **Finetuning Examples:** 1000 |
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- **GPU:** NVIDIA Tesla T4 |
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- **GPU Hours:** 2 |
