Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use amasiukevich/dummy_bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amasiukevich/dummy_bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amasiukevich/dummy_bert_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("amasiukevich/dummy_bert_model") model = AutoModelForSequenceClassification.from_pretrained("amasiukevich/dummy_bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amasiukevich/dummy_bert_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/amasiukevich/dummy_bert_model/resolve/main/training_args.bin
- Command line
-
hf download hf://amasiukevich/dummy_bert_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amasiukevich/dummy_bert_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- ea8cca43ca546468329b0beac9562e815d7a00373d94f91c70ec3feb494e7503
- Size of remote file:
- 4.6 kB
- SHA256:
- dd684b2f8e0a5540a9478b637fcdb0235ec5d622f0eddb71bb4b9cbcc0b2cce2
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