How to use hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification/resolve/e5ba8551643c1013bbf033a00e35668f934bc356/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification@e5ba8551643c1013bbf033a00e35668f934bc356/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-DebertaV2ForTokenClassification/resolve/e5ba8551643c1013bbf033a00e35668f934bc356/tokenizer.json
