How to use 96harsh56/bert_test2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="96harsh56/bert_test2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("96harsh56/bert_test2") model = AutoModelForQuestionAnswering.from_pretrained("96harsh56/bert_test2", device_map="auto")
https://huggingface.co/96harsh56/bert_test2/resolve/c81d77d10ff11017ce1c00a6fdefd9b7ab014ebe/tokenizer.json
hf download hf://96harsh56/bert_test2@c81d77d10ff11017ce1c00a6fdefd9b7ab014ebe/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/96harsh56/bert_test2/resolve/c81d77d10ff11017ce1c00a6fdefd9b7ab014ebe/tokenizer.json
