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 pred_logit_train.npy from jialicheng/imdb_bert-base: direct link, hf CLI and curl.
- Browser
- Download file 200 kB
-
https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/pred_logit_train.npy
- Command line
-
hf download hf://jialicheng/imdb_bert-base/pred_logit_train.npy
-
curl -L -o pred_logit_train.npy https://huggingface.co/jialicheng/imdb_bert-base/resolve/main/pred_logit_train.npy
200 kB
- Xet hash:
- dc4687feae14497d89d4160e1410f7fc2f5430cd3b1900941e276b393bbaee89
- Size of remote file:
- 200 kB
- SHA256:
- ed2d30ddf192e690897f9796f5554f95f32fddf421f1b531c8ee0b1599c21e98
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