How to use NLPScholars/Roberta-Earning-Call-Transcript-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NLPScholars/Roberta-Earning-Call-Transcript-Classification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NLPScholars/Roberta-Earning-Call-Transcript-Classification") model = AutoModelForSequenceClassification.from_pretrained("NLPScholars/Roberta-Earning-Call-Transcript-Classification", device_map="auto")
https://huggingface.co/NLPScholars/Roberta-Earning-Call-Transcript-Classification/resolve/ad768dcf0f113e71a7cc29957cdda70c6065d8d7/tokenizer.json
hf download hf://NLPScholars/Roberta-Earning-Call-Transcript-Classification@ad768dcf0f113e71a7cc29957cdda70c6065d8d7/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/NLPScholars/Roberta-Earning-Call-Transcript-Classification/resolve/ad768dcf0f113e71a7cc29957cdda70c6065d8d7/tokenizer.json
