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