How to use karthik19967829/XLM-R-es-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="karthik19967829/XLM-R-es-model")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("karthik19967829/XLM-R-es-model") model = AutoModelForTokenClassification.from_pretrained("karthik19967829/XLM-R-es-model", device_map="auto")
https://huggingface.co/karthik19967829/XLM-R-es-model/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://karthik19967829/XLM-R-es-model@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/karthik19967829/XLM-R-es-model/resolve/refs%2Fpr%2F1/tokenizer.json
