How to use hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification/resolve/60bdf9d216b91dbc048845ef23985e2eecc642c2/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification@60bdf9d216b91dbc048845ef23985e2eecc642c2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification/resolve/60bdf9d216b91dbc048845ef23985e2eecc642c2/tokenizer.json
