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Model: silvercoder67/Mistral-7b-instruct-v0.2-summ-sft-e2m Source: Original Platform
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README.md
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README.md
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---
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license: cc-by-nc-4.0
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---
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Description to load and test will be added soon. More details on training and data will be added aswell.
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### **Loading the Model**
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Use the following Python code to load the model:
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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TBD
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```
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### **Generating Text**
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To generate text, use the following Python code:
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```python
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text = "Hi, my name is "
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=64)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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