How to use encodingai/mBERT-im-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="encodingai/mBERT-im-multilabel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("encodingai/mBERT-im-multilabel") model = AutoModelForSequenceClassification.from_pretrained("encodingai/mBERT-im-multilabel", device_map="auto")
https://huggingface.co/encodingai/mBERT-im-multilabel/resolve/main/tokenizer_config.json
hf download hf://encodingai/mBERT-im-multilabel/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/encodingai/mBERT-im-multilabel/resolve/main/tokenizer_config.json
