How to use yezdata/EmCoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yezdata/EmCoder", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yezdata/EmCoder", trust_remote_code=True, device_map="auto")
https://huggingface.co/yezdata/EmCoder/resolve/e590942e95f47c88d54f64d5ca9c85d0e561c3aa/tokenizer.json
hf download hf://yezdata/EmCoder@e590942e95f47c88d54f64d5ca9c85d0e561c3aa/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/yezdata/EmCoder/resolve/e590942e95f47c88d54f64d5ca9c85d0e561c3aa/tokenizer.json
