How to use IIC/roberta-large-bne-pharmaconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="IIC/roberta-large-bne-pharmaconer")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIC/roberta-large-bne-pharmaconer") model = AutoModelForSequenceClassification.from_pretrained("IIC/roberta-large-bne-pharmaconer", device_map="auto")
https://huggingface.co/IIC/roberta-large-bne-pharmaconer/resolve/main/merges.txt
hf download hf://IIC/roberta-large-bne-pharmaconer/merges.txt
curl -L -o merges.txt https://huggingface.co/IIC/roberta-large-bne-pharmaconer/resolve/main/merges.txt
