How to use Blaise-MR/pytorch_sentiment_textnotes1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Blaise-MR/pytorch_sentiment_textnotes1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Blaise-MR/pytorch_sentiment_textnotes1") model = AutoModelForSequenceClassification.from_pretrained("Blaise-MR/pytorch_sentiment_textnotes1", device_map="auto")
https://huggingface.co/Blaise-MR/pytorch_sentiment_textnotes1/resolve/main/tokenizer.json
hf download hf://Blaise-MR/pytorch_sentiment_textnotes1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Blaise-MR/pytorch_sentiment_textnotes1/resolve/main/tokenizer.json
