Instructions to use hcoxec/BERT_6L_128H_A2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hcoxec/BERT_6L_128H_A2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hcoxec/BERT_6L_128H_A2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hcoxec/BERT_6L_128H_A2") model = AutoModel.from_pretrained("hcoxec/BERT_6L_128H_A2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hcoxec/BERT_6L_128H_A2: direct link, hf CLI and curl.
- Browser
- Download file 20.7 MB
-
https://huggingface.co/hcoxec/BERT_6L_128H_A2/resolve/c18e8bbcb77fb1c58ae332e1141b4e56a1dd0f6d/model.safetensors
- Command line
-
hf download hf://hcoxec/BERT_6L_128H_A2@c18e8bbcb77fb1c58ae332e1141b4e56a1dd0f6d/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hcoxec/BERT_6L_128H_A2/resolve/c18e8bbcb77fb1c58ae332e1141b4e56a1dd0f6d/model.safetensors
20.7 MB
- Xet hash:
- f98599c9abdfbbcc5f6f12a25a071b11ef746b53ddf632a0d11217c657ee34f8
- Size of remote file:
- 20.7 MB
- SHA256:
- 2503822bb2cdbc53f77e1a68b268592cdab9be38889630a59f5f82153568d95a
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