How to use C-L-V/Modelo-ejercicio-adicional-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="C-L-V/Modelo-ejercicio-adicional-2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("C-L-V/Modelo-ejercicio-adicional-2") model = AutoModelForSequenceClassification.from_pretrained("C-L-V/Modelo-ejercicio-adicional-2", device_map="auto")
https://huggingface.co/C-L-V/Modelo-ejercicio-adicional-2/resolve/main/tokenizer.json
hf download hf://C-L-V/Modelo-ejercicio-adicional-2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/C-L-V/Modelo-ejercicio-adicional-2/resolve/main/tokenizer.json
