Instructions to use Reproducibility/naacl22_causalDistilBERT_instance_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Reproducibility/naacl22_causalDistilBERT_instance_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Reproducibility/naacl22_causalDistilBERT_instance_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Reproducibility/naacl22_causalDistilBERT_instance_2") model = AutoModelForMaskedLM.from_pretrained("Reproducibility/naacl22_causalDistilBERT_instance_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Reproducibility/naacl22_causalDistilBERT_instance_2: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Reproducibility/naacl22_causalDistilBERT_instance_2/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://Reproducibility/naacl22_causalDistilBERT_instance_2@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Reproducibility/naacl22_causalDistilBERT_instance_2/resolve/refs%2Fpr%2F1/pytorch_model.bin
268 MB
- Xet hash:
- 06855784801ed15abc4afc74f267428073531fdee9353e9af3ad1844be0e231a
- Size of remote file:
- 268 MB
- SHA256:
- 095bfca909e981e426b54039fcdbcc443f2f992a96b4cc4553bb1375f36bc5b5
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