folkopinion/bert-political-statements-and-questions-swedish-ner
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How to use folkopinion/bert-political-statements-and-questions-swedish-ner with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("token-classification", model="folkopinion/bert-political-statements-and-questions-swedish-ner") # Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("folkopinion/bert-political-statements-and-questions-swedish-ner")
model = AutoModelForTokenClassification.from_pretrained("folkopinion/bert-political-statements-and-questions-swedish-ner")You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("callebergstrom/autotrain-bert-political-statements-and-questions-swedish-ner-69812137999", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)