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, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Mayank-22/Mayank-AI") model = AutoModelForCausalLM.from_pretrained("Mayank-22/Mayank-AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This is the model card of a 馃 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:**
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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This is the model card of a 馃 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** Mayank Malviya
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- **Model type:** AI Model based on Supervised Learning
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- **Language(s) (NLP):**
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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