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)
# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("yezdata/EmCoder", trust_remote_code=True, dtype="auto")
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{ "n_samples": 50, "tokenized_ds_dir": "data/goemotions_v2_no_trunc", "encoder_lr": 0.00001, "head_lr": 0.0002, "lr_warmup": 0.02, "weight_decay": 0.01, "batch_size": 64, "gradient_accumulation_steps": 1, "num_epochs": 10 }
