Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use Zarkit/classificationEsp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zarkit/classificationEsp2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Zarkit/classificationEsp2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Zarkit/classificationEsp2") model = AutoModelForSequenceClassification.from_pretrained("Zarkit/classificationEsp2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Zarkit/classificationEsp2: direct link, hf CLI and curl.
- Browser
- Download file 851 kB
-
https://huggingface.co/Zarkit/classificationEsp2/resolve/main/vocab.json
- Command line
-
hf download hf://Zarkit/classificationEsp2/vocab.json
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curl -L -o vocab.json https://huggingface.co/Zarkit/classificationEsp2/resolve/main/vocab.json
851 kB
File too large to display, you can check the raw version instead.