BERT
Collection
4 items • Updated
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Antonio49/ModeloCanal")
model = AutoModelForQuestionAnswering.from_pretrained("Antonio49/ModeloCanal")Quick Links
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
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- Model type: [More Information Needed]
- Language(s) (NLP): [More Information Needed]
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- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
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Uses
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Antonio49/ModeloCanal")