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    Prajjwal's picture prajjwal1
    /
    bert-mini-mnli

    Text Classification
    PyTorch arxiv:1908.08962 bert
    Model card Files and versions

    How to serve this model with the Accelerated Inference API

    Try the Inference API for free, and get an organization plan to use it in your apps.
    import json
    import requests
    
    API_URL = "https://api-inference.huggingface.co/models/prajjwal1/bert-mini-mnli"
    headers = {"Authorization": f"Bearer {API_TOKEN}"}
    
    def query(payload):
    	data = json.dumps(payload)
    	response = requests.request("POST", API_URL, headers=headers, data=data)
    	return json.loads(response.content.decode("utf-8"))
    data = query({"inputs": "I like you. I love you"})

    Quick Links

    • Inference API Documentation
    • How to get started

    How to use from the 🤗/transformers library

    from transformers import AutoTokenizer, AutoModelForSequenceClassification
      
    tokenizer = AutoTokenizer.from_pretrained("prajjwal1/bert-mini-mnli")
    
    model = AutoModelForSequenceClassification.from_pretrained("prajjwal1/bert-mini-mnli")

    Or just clone the model repo

    git lfs install
    git clone https://huggingface.co/prajjwal1/bert-mini-mnli
    # if you want to clone without large files – just their pointers
    # prepend your git clone with the following env var:
    GIT_LFS_SKIP_SMUDGE=1
      • main
      bert-mini-mnli
      History: 8 commits
      system
      Update vocab.txt 6f47279 last year
      • .gitattributes 345.0B initial commit last year
      • README.md 514.0B Update README.md last year
      • config.json 663.0B Update config.json last year
      • pytorch_model.bin 42.6MB Update pytorch_model.bin last year
      • special_tokens_map.json 112.0B Update special_tokens_map.json last year
      • tokenizer_config.json 62.0B Update tokenizer_config.json last year
      • training_args.bin 1.5KB Update training_args.bin last year
      • vocab.txt 226.1KB Update vocab.txt last year