Instructions to use anlausch/aq_bert_ibm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anlausch/aq_bert_ibm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anlausch/aq_bert_ibm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anlausch/aq_bert_ibm") model = AutoModelForSequenceClassification.from_pretrained("anlausch/aq_bert_ibm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 95bfe89aa89e4dd56a8cf03ca747bf66951e619439455a5d952b62d336522439
- Size of remote file:
- 1.52 kB
- SHA256:
- 576effed6a078e3a21012929f13e659f14ef4063a9435a1887ee42870cedd4b3
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