Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jialicheng/imdb_bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jialicheng/imdb_bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jialicheng/imdb_bert-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jialicheng/imdb_bert-base") model = AutoModelForSequenceClassification.from_pretrained("jialicheng/imdb_bert-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jialicheng/imdb_bert-base: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/training_args.bin
- Command line
-
hf download hf://jialicheng/imdb_bert-base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 97b264122a2b6376937a8f123a17f7f4702c25c3d66acea105e24b02f74ba5b2
- Size of remote file:
- 4.79 kB
- SHA256:
- c01651bce26838f9a693f1e2159a8ebb9f399f6ff7aa54c747d42a6e72be4b71
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