How to use elopezlopez/distilbert-base-uncased_fold_9_binary_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elopezlopez/distilbert-base-uncased_fold_9_binary_v1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elopezlopez/distilbert-base-uncased_fold_9_binary_v1") model = AutoModelForSequenceClassification.from_pretrained("elopezlopez/distilbert-base-uncased_fold_9_binary_v1", device_map="auto")
https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_9_binary_v1/resolve/main/tokenizer.json
hf download hf://elopezlopez/distilbert-base-uncased_fold_9_binary_v1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/elopezlopez/distilbert-base-uncased_fold_9_binary_v1/resolve/main/tokenizer.json
