How to use JavierAnd/cliente360_class_weighted_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JavierAnd/cliente360_class_weighted_model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JavierAnd/cliente360_class_weighted_model") model = AutoModelForSequenceClassification.from_pretrained("JavierAnd/cliente360_class_weighted_model", device_map="auto")
https://huggingface.co/JavierAnd/cliente360_class_weighted_model/resolve/main/tokenizer.json
hf download hf://JavierAnd/cliente360_class_weighted_model/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/JavierAnd/cliente360_class_weighted_model/resolve/main/tokenizer.json
