Instructions to use DanielAvelar09/mi_chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielAvelar09/mi_chatbot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DanielAvelar09/mi_chatbot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("DanielAvelar09/mi_chatbot") model = AutoModelForQuestionAnswering.from_pretrained("DanielAvelar09/mi_chatbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c276123706ba0550d96ced9a92535048fe713aab898066bc6232e5830948891c
- Size of remote file:
- 16.3 MB
- SHA256:
- a1138eab70286f87e95bdf1fb4f1f173698ab5b130389032f399ea67b917bd07
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