How to use roncc13/trainCMDBERT-sample with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roncc13/trainCMDBERT-sample")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roncc13/trainCMDBERT-sample") model = AutoModelForSequenceClassification.from_pretrained("roncc13/trainCMDBERT-sample", device_map="auto")
https://huggingface.co/roncc13/trainCMDBERT-sample/resolve/main/tokenizer.json
hf download hf://roncc13/trainCMDBERT-sample/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/roncc13/trainCMDBERT-sample/resolve/main/tokenizer.json
