Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use fredymad/robertuito_4CLASES_Pfinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fredymad/robertuito_4CLASES_Pfinal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fredymad/robertuito_4CLASES_Pfinal")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fredymad/robertuito_4CLASES_Pfinal") model = AutoModelForSequenceClassification.from_pretrained("fredymad/robertuito_4CLASES_Pfinal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e89e8ee07825b9255a534d85e45b5dcb2f3fffed5943bfbfe3311787bae8020
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size 435186360
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