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Text Classification

sentiment-roberta-large-english

SiEBERT - English-Language Sentiment Classification Overview This model ("SiEBERT", prefix for "Sentiment in English") is a fine-tuned checkpoint of RoBERTa-large (Liu et al. 2019). It enables reliable binary sentiment analysis for various types of English-language text. For each instance, it predicts either positive (1) or negative (0) sentiment. The model was fine-tuned…
March 5, 20240Likes0Comments
Visual Question Answering

git-base-textvqa

GIT (GenerativeImage2Text), base-sized, fine-tuned on TextVQA GIT (short for GenerativeImage2Text) model, base-sized version, fine-tuned on TextVQA. It was introduced in the paper GIT: A Generative Image-to-text Transformer for Vision and Language by Wang et al. and first released in this repository. Disclaimer: The team releasing GIT did not write a model card for this…
March 5, 20240Likes0Comments
Image Classification

beit-base-patch16-224-pt22k-ft22k

Edit model card BEiT (base-sized model, fine-tuned on ImageNet-22k) Model description Intended uses & limitations How to use Training data Training procedure Preprocessing Pretraining Evaluation results BibTeX entry and citation info BEiT (base-sized model, fine-tuned on ImageNet-22k) BEiT model pre-trained in a self-supervised fashion on ImageNet-22k - also called ImageNet-21k (14 million images,…
March 5, 20240Likes0Comments
Reinforcement Learning

PongNoFrameskip-v4-MuZero

Edit model card Play PongNoFrameskip-v4 with MuZero Policy Model Description Model Usage Install the Dependencies Git Clone from Huggingface and Run the Model Run Model by Using Huggingface_ding Model Training Train the Model and Push to Huggingface_hub Model Information Environments Play PongNoFrameskip-v4 with MuZero Policy Model Description This implementation applies MuZero…
March 5, 20240Likes0Comments
Robotics

ARIA-7b-v0.1

Edit model card Training procedure The following bitsandbytes quantization config was used during training: quant_method: bitsandbytes load_in_8bit: False load_in_4bit: True llm_int8_threshold: 6.0 llm_int8_skip_modules: None llm_int8_enable_fp32_cpu_offload: False llm_int8_has_fp16_weight: False bnb_4bit_quant_type: nf4 bnb_4bit_use_double_quant: False bnb_4bit_compute_dtype: float16 The following bitsandbytes quantization config was used during training: quant_method: bitsandbytes load_in_8bit: False load_in_4bit: True llm_int8_threshold: 6.0 llm_int8_skip_modules: None llm_int8_enable_fp32_cpu_offload:…
March 5, 20240Likes0Comments
Instagram Marketing

Best Organic Instagram Growth Strategies to Consistently Drive Targeted Traffic and Engagement in 2021

If you’re still utilizing organic Instagram growth strategies from last year, you may have noticed a decline in your business’ organic reach and engagement.  As Instagram continues to evolve, your agency or business must continue to adopt new growth strategies to keep the momentum going.  Marketers have been left something to desire with the available…
March 5, 20240Likes0Comments
AI News

The New York Times is suing OpenAI, Microsoft for the use of copyrighted work for their artificial intelligence

The New York Times has filed a lawsuit against OpenAI and Microsoft for infringing its copyright. The publisher claims that the companies used its content to train generative artificial intelligence and large-language model systems without permission or payment. The lawsuit states that the companies used the paper's "copyrighted news articles, in-depth investigations, opinion pieces, reviews,…
March 5, 20240Likes0Comments
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