How to use hf-internal-testing/tiny-random-AlbertForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-AlbertForSequenceClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-AlbertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-AlbertForSequenceClassification", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-AlbertForSequenceClassification/resolve/896e1629f86f80eed7673c219f8aeed033e6f086/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-AlbertForSequenceClassification@896e1629f86f80eed7673c219f8aeed033e6f086/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-AlbertForSequenceClassification/resolve/896e1629f86f80eed7673c219f8aeed033e6f086/tokenizer.json
