Instructions to use HPLT/hplt_bert_base_tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HPLT/hplt_bert_base_tl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HPLT/hplt_bert_base_tl", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("HPLT/hplt_bert_base_tl", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 018f5cc8f1b59348ad5fc43bc6fa5f13c5de77b46fd5e0ade999f609e0e59b87
- Size of remote file:
- 525 MB
- SHA256:
- 0f237189690703aea61a0c7b50af82d9cb613dd261e76d2539c3b8b2f08e1bcd
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