Text Classification
Transformers
Safetensors
English
distilbert
sentiment-analysis
fine-tuned
text-embeddings-inference
Instructions to use AutoBot000/distilbert-imdb-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AutoBot000/distilbert-imdb-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AutoBot000/distilbert-imdb-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AutoBot000/distilbert-imdb-sentiment") model = AutoModelForSequenceClassification.from_pretrained("AutoBot000/distilbert-imdb-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c16eadb4021ebd86bc7e61e4198f86923721af2ea0ebb2fd12c73f44051c3312
- Size of remote file:
- 268 MB
- SHA256:
- cb9f1723db88375bcc9d577f56fe0ab4631be6a58173b9a80b5a278c03a06b64
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