How to use hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1", trust_remote_code=True)
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1", trust_remote_code=True, device_map="auto")
https://huggingface.co/hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1/resolve/main/tokenizer.json
hf download hf://hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hazyresearch/M2-BERT-32K-Retrieval-Encoder-V1/resolve/main/tokenizer.json
