Feature Extraction
Transformers
Safetensors
bert
mental-health
multi-label
mental-bert-base-uncased
text-embeddings-inference
Instructions to use mahir2021/mental-bert-depemo2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahir2021/mental-bert-depemo2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mahir2021/mental-bert-depemo2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mahir2021/mental-bert-depemo2") model = AutoModel.from_pretrained("mahir2021/mental-bert-depemo2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download custom_head.bin from mahir2021/mental-bert-depemo2: direct link, hf CLI and curl.
- Browser
- Download file 2.39 MB
-
https://huggingface.co/mahir2021/mental-bert-depemo2/resolve/main/custom_head.bin
- Command line
-
hf download hf://mahir2021/mental-bert-depemo2/custom_head.bin
-
curl -L -o custom_head.bin https://huggingface.co/mahir2021/mental-bert-depemo2/resolve/main/custom_head.bin
2.39 MB
- Xet hash:
- 2b4fee661418c7a88c139d408b6d6560f255ee0f6f8e5e221648f41886426984
- Size of remote file:
- 2.39 MB
- SHA256:
- 6c2020aedd3fff988eb1e5368ac2f6e7f5b0b0ff9f9a9d24734cd3ee03b85eae
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