Instructions to use hcoxec/BERT_10L_768H_A12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcoxec/BERT_10L_768H_A12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hcoxec/BERT_10L_768H_A12")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hcoxec/BERT_10L_768H_A12") model = AutoModel.from_pretrained("hcoxec/BERT_10L_768H_A12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hcoxec/BERT_10L_768H_A12: direct link, hf CLI and curl.
- Browser
- Download file 381 MB
-
https://huggingface.co/hcoxec/BERT_10L_768H_A12/resolve/main/model.safetensors
- Command line
-
hf download hf://hcoxec/BERT_10L_768H_A12/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hcoxec/BERT_10L_768H_A12/resolve/main/model.safetensors
381 MB
- Xet hash:
- ee4fc842e4ef46b69e52e6ba4e824921147b3e7cdad6e7cd61246013198012d1
- Size of remote file:
- 381 MB
- SHA256:
- 018ce5acffb485553a192cac6adce747b31820215a6f3dfb68d1514ee66d78e6
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