Question Answering
Transformers
Safetensors
English
gpt2
text-generation
medicine
india
pharmaceutical
text-generation-inference
Instructions to use Mayank-22/Mayank-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayank-22/Mayank-AI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Mayank-22/Mayank-AI")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("Mayank-22/Mayank-AI") model = AutoModelForMultimodalLM.from_pretrained("Mayank-22/Mayank-AI") - Notebooks
- Google Colab
- Kaggle
Create tokens.txt
Browse files- tokens.txt +14 -0
tokens.txt
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("Mayank-22/Mayank-AI")
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model = AutoModelForCausalLM.from_pretrained("Mayank-22/Mayank-AI")
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# Example usage
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prompt = input("Ask: ")
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inputs = tokenizer(prompt, return_tensors="pt")
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# Generate text
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outputs = model.generate(**inputs, max_length=50)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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