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