Instructions to use greatakela/RerankerModel_chat_bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use greatakela/RerankerModel_chat_bot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="greatakela/RerankerModel_chat_bot")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("greatakela/RerankerModel_chat_bot") model = AutoModelForSequenceClassification.from_pretrained("greatakela/RerankerModel_chat_bot") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#1
by tomaarsen HF Staff - opened
README.md
CHANGED
|
@@ -3,6 +3,8 @@ license: apache-2.0
|
|
| 3 |
base_model: bert-base-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: RerankerModel_chat_bot
|
| 8 |
results: []
|
|
|
|
| 3 |
base_model: bert-base-uncased
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
| 6 |
+
library_name: sentence-transformers
|
| 7 |
+
pipeline_tag: text-ranking
|
| 8 |
model-index:
|
| 9 |
- name: RerankerModel_chat_bot
|
| 10 |
results: []
|