Text Classification
Transformers
Safetensors
Spanish
longformer
sgd,
documental
gestion
documental type
spanish
document-management
smote
multi-class
fine-tuned
gpu
a100
cc-by-nc-3.0
Instructions to use excribe/classifer_sgd_longformer_4099 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use excribe/classifer_sgd_longformer_4099 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="excribe/classifer_sgd_longformer_4099")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("excribe/classifer_sgd_longformer_4099") model = AutoModelForSequenceClassification.from_pretrained("excribe/classifer_sgd_longformer_4099") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 642e6241a209e28c1676d968aa5ee2aa62ce33617a11b979f6b62392d02aeab8
- Size of remote file:
- 5.24 kB
- SHA256:
- b930e5d26dea1e73273fa2ec02bef9a8b67be91503334b2d83b6f6aab4391736
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