Instructions to use m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary") model = AutoModelForSequenceClassification.from_pretrained("m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
-
https://huggingface.co/m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary/resolve/main/.gitattributes
- Command line
-
hf download hf://m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/m3hrdadfi/albert-fa-base-v2-sentiment-deepsentipers-binary/resolve/main/.gitattributes
345 Bytes
| *.bin.* filter=lfs diff=lfs merge=lfs -text | |
| *.lfs.* filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |
| *.h5 filter=lfs diff=lfs merge=lfs -text | |
| *.tflite filter=lfs diff=lfs merge=lfs -text | |
| *.tar.gz filter=lfs diff=lfs merge=lfs -text | |
| *.ot filter=lfs diff=lfs merge=lfs -text | |
| *.onnx filter=lfs diff=lfs merge=lfs -text | |