How to use Cesar42/bert-base-uncased-emotion_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cesar42/bert-base-uncased-emotion_v1")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cesar42/bert-base-uncased-emotion_v1") model = AutoModelForSequenceClassification.from_pretrained("Cesar42/bert-base-uncased-emotion_v1", device_map="auto")
https://huggingface.co/Cesar42/bert-base-uncased-emotion_v1/resolve/main/tokenizer.json
hf download hf://Cesar42/bert-base-uncased-emotion_v1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Cesar42/bert-base-uncased-emotion_v1/resolve/main/tokenizer.json
