How to use hf-internal-testing/tiny-random-RoCBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-RoCBertForTokenClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoCBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-RoCBertForTokenClassification", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-RoCBertForTokenClassification/resolve/4d3cb89b8950aacc381aeca2e721c4f2c07dfc98/word_shape.json
hf download hf://hf-internal-testing/tiny-random-RoCBertForTokenClassification@4d3cb89b8950aacc381aeca2e721c4f2c07dfc98/word_shape.json
curl -L -o word_shape.json https://huggingface.co/hf-internal-testing/tiny-random-RoCBertForTokenClassification/resolve/4d3cb89b8950aacc381aeca2e721c4f2c07dfc98/word_shape.json
