Instructions to use strectelite/MyBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use strectelite/MyBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="strectelite/MyBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("strectelite/MyBERT") model = AutoModelForSequenceClassification.from_pretrained("strectelite/MyBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from strectelite/MyBERT: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/strectelite/MyBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://strectelite/MyBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/strectelite/MyBERT/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 230d2e4771ad701c7e0efa999006da2ec7fe0fac3d3883f3794c7e14cf0aeaaf
- Size of remote file:
- 5.3 kB
- SHA256:
- 21c1586b868af3be57f69463810e934d15ae6f188da2d1776b0a711f380fe49e
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