How to use Ethan615/try with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ethan615/try")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ethan615/try") model = AutoModelForSequenceClassification.from_pretrained("Ethan615/try", device_map="auto")
https://huggingface.co/Ethan615/try/resolve/main/run-4/checkpoint-804/tokenizer.json
hf download hf://Ethan615/try/run-4/checkpoint-804/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Ethan615/try/resolve/main/run-4/checkpoint-804/tokenizer.json
