How to use thom-ndis/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thom-ndis/trainer_output")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thom-ndis/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("thom-ndis/trainer_output", device_map="auto")
https://huggingface.co/thom-ndis/trainer_output/resolve/8071ccde1a1e3f89a346093c5c595f1d37e472ca/tokenizer.json
hf download hf://thom-ndis/trainer_output@8071ccde1a1e3f89a346093c5c595f1d37e472ca/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/thom-ndis/trainer_output/resolve/8071ccde1a1e3f89a346093c5c595f1d37e472ca/tokenizer.json
