Text Classification
Transformers
Safetensors
Spanish
roberta
spanish
colombian-spanish
dialectology
twitter
ser-focalizador
text-embeddings-inference
Instructions to use johnatanebonilla/bert_focalizador with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnatanebonilla/bert_focalizador with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="johnatanebonilla/bert_focalizador")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("johnatanebonilla/bert_focalizador") model = AutoModelForSequenceClassification.from_pretrained("johnatanebonilla/bert_focalizador", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bffeba70b49df8c0dbc33dfce58033d8e4705e3a4958990b8238cf9e8c24d9e2
- Size of remote file:
- 435 MB
- SHA256:
- e675c2a7f625fab991bf4aa039f7573d3bf9e9339ad77c804307392e57448574
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