Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use asquevedos/services-ucacue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asquevedos/services-ucacue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asquevedos/services-ucacue")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asquevedos/services-ucacue") model = AutoModelForSequenceClassification.from_pretrained("asquevedos/services-ucacue") - Notebooks
- Google Colab
- Kaggle
Update README.md
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by BryanSagbay - opened
README.md
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model-index:
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- name: services-ucacue
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model-index:
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- name: services-ucacue
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results: []
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pipeline_tag: text-classification
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.39.3
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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