Text Classification
Transformers
Safetensors
English
bert
financial-sentiment
sentiment-analysis
finance
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use codealchemist01/financial-sentiment-improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codealchemist01/financial-sentiment-improved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="codealchemist01/financial-sentiment-improved")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("codealchemist01/financial-sentiment-improved") model = AutoModelForSequenceClassification.from_pretrained("codealchemist01/financial-sentiment-improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-3435/scheduler.pt from codealchemist01/financial-sentiment-improved: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/codealchemist01/financial-sentiment-improved/resolve/main/checkpoint-3435/scheduler.pt
- Command line
-
hf download hf://codealchemist01/financial-sentiment-improved/checkpoint-3435/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/codealchemist01/financial-sentiment-improved/resolve/main/checkpoint-3435/scheduler.pt
1.47 kB
- Xet hash:
- 2ba4194896b5919b60841c47fadaf2c5c9d7779e5bcdd0a2c9a63a76283b492f
- Size of remote file:
- 1.47 kB
- SHA256:
- 569147eb9f05b3d2f3e8065d6e6f437667bdb84690b928efbaba57dfa38cde5d
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