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