Fill-Mask
Transformers
Safetensors
bert
encoder-only
masked-language-model
compressed
hxq
helix-substrate
vector-quantization
helixcode
Eval Results (legacy)
8-bit precision
Instructions to use EchoLabs33/bert-base-uncased-hxq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EchoLabs33/bert-base-uncased-hxq with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EchoLabs33/bert-base-uncased-hxq")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EchoLabs33/bert-base-uncased-hxq") model = AutoModelForMaskedLM.from_pretrained("EchoLabs33/bert-base-uncased-hxq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!