# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("falkne/bert-web-discussions-en")
model = AutoModel.from_pretrained("falkne/bert-web-discussions-en")Quick Links
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Check out the documentation for more information.
Bert Online Discussions (bert-web-discussions-en)
This model is a fine-tuned version of the BERT base model. It was introduced in this paper.
Model description
The BERT base language model was fine-tuned on the Webis-CMV-20 corpus and on the args.me corpus. The model was trained on a sample of 2,469,026 sentences in total.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="falkne/bert-web-discussions-en")