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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

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