Text Classification
Transformers
PyTorch
TensorBoard
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use fredymad/siebert_estricto_2e-5_16_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fredymad/siebert_estricto_2e-5_16_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fredymad/siebert_estricto_2e-5_16_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fredymad/siebert_estricto_2e-5_16_2") model = AutoModelForSequenceClassification.from_pretrained("fredymad/siebert_estricto_2e-5_16_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Apr24_14-26-30_0bcd13a011d5/events.out.tfevents.1682346394.0bcd13a011d5.1809.2 +2 -2
- runs/Apr24_14-45-19_0bcd13a011d5/1682347523.1792994/events.out.tfevents.1682347523.0bcd13a011d5.1809.5 +3 -0
- runs/Apr24_14-45-19_0bcd13a011d5/events.out.tfevents.1682347523.0bcd13a011d5.1809.4 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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