How to use hf-tiny-model-private/tiny-random-AlbertForSequenceClassification 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-AlbertForSequenceClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-AlbertForSequenceClassification", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-AlbertForSequenceClassification/resolve/a242c4044c86cdb9746bc88d1b1ddb6841e98e1b/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-AlbertForSequenceClassification@a242c4044c86cdb9746bc88d1b1ddb6841e98e1b/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-AlbertForSequenceClassification/resolve/a242c4044c86cdb9746bc88d1b1ddb6841e98e1b/tokenizer.json
