How to use projecte-aina/roberta-base-ca-cased-te with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="projecte-aina/roberta-base-ca-cased-te")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-cased-te") model = AutoModelForSequenceClassification.from_pretrained("projecte-aina/roberta-base-ca-cased-te", device_map="auto")
https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/tokenizer.json
hf download hf://projecte-aina/roberta-base-ca-cased-te@02a56821f3990b7ef70eca546928431d62543388/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/projecte-aina/roberta-base-ca-cased-te/resolve/02a56821f3990b7ef70eca546928431d62543388/tokenizer.json
