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